A Numerical Case Study on the subject Business Statistics and the use of Time Series Analysis as a tool to solve various problems related to business decisions.
This chapter introduces the basic concepts and terminology of statistics. It discusses two main branches of statistics - descriptive statistics which involves collecting, organizing and summarizing data, and inferential statistics which allows drawing conclusions about populations from samples. The chapter also covers variables, populations, samples, parameters, statistics and how to organize and visualize data through tables, charts and graphs. It emphasizes that statistics helps turn data into useful information for decision making in business.
Factoring is a financial transaction and a type of debtor finance in which a business sells its accounts receivable (i.e., invoices) to a third party (called a factor) at a discount. Factoring is commonly referred to as accounts receivable factoring, invoice factoring, and sometimes accounts receivable financing.
There are three parties directly involved: the factor who purchases the receivable, the one who sells the receivable, and the debtor who has a financial liability that requires him or her to make a payment to the owner of the invoice.
There are various types of factoring:
Recourse, Non - recourse, maturity and cross - border factoring.
The document discusses the electromagnetic spectrum. It describes how white light is dispersed by a prism into visible colors from violet to red due to different wavelengths being refracted differently. It states that all electromagnetic waves travel at the speed of light in a vacuum and lists their properties. The document then discusses various applications of different parts of the electromagnetic spectrum, including uses of radio waves for communication, microwaves for satellites and radar, infrared for remote controls and intruder alarms, visible light for optical fibers, ultraviolet for sunbeds and sterilization, X-rays for medical imaging and gamma rays for cancer treatment.
INTRODUCTION
A breakeven analysis is used to determine how much sales volume your business needs to start making a profit.
The breakeven analysis is especially useful when you're developing a pricing strategy, either as part of a marketing plan or a business plan.
In economics & business, specifically cost accounting, the break-even point (BEP) is the point at which cost or expenses and revenue are equal: there is no net loss or gain, and one has "broken even".
Total cost = Total revenue = B.E.P.
- The document discusses market basket analysis and association rule mining, which are techniques used to analyze purchasing patterns in transactional data.
- It provides an example of an association rule discovered from store transaction data: "If a basket contains beer, it is likely to also contain diapers." Knowing this, the store changed its layout to place diapers and beer next to each other, increasing sales of both products.
- The key measures for evaluating association rules are support, confidence and lift, which indicate how often items are purchased together versus by chance alone. Market basket analysis can help businesses promote complementary products and increase overall revenue.
This business plan presentation proposes opening a driving school in Pakistan as part of an existing ride-sharing business. The plan estimates that a single driving school could generate a monthly profit of 36,000 Pakistani rupees by training 3 students per month. It envisions expanding to 1,000 schools across provinces, generating over 2.8 million rupees in revenue per year. The presentation outlines the business model, objectives, SWOT analysis, and a PESTLE analysis examining political, economic, social, technological, legal, and environmental factors that could impact the school.
The Financing Decision is yet another crucial decision made by the financial manager relating to the financing-mix of an organization. It is concerned with the borrowing and allocation of funds required for the investment decisions
MBA 1st year statitics - Data Analytics projectRohit Deshmukh
This document provides an outline for a research project on studying water supply in Kalyan, India. It includes an introduction on the importance of safe drinking water. The problem statement aims to study the water supply by the Kalyan-Dombivli Municipal Corporation (KDMC). The research objectives are to study the impact of KDMC's water supply, sources, and distribution system. The research design will use exploratory and descriptive methods with a sample size of 120 people. Statistical tools like standard deviation will be used to analyze data from surveys and questionnaires. Key findings will address hypotheses about the impact of KDMC, sources, and distribution system on water quality.
Comparative and Non-Comparative Scaling TechniquesVarsha Prakash
This document discusses and compares various scaling techniques used in business research methods. It describes comparative scaling techniques like pairwise comparison and rank-ordering that directly compare items, as well as non-comparative techniques like Likert scales and semantic differential scales that independently scale each item. The document also discusses different data types that can be measured, including nominal, ordinal, interval and ratio levels, and how this influences scale construction. It concludes by emphasizing the importance of testing scales for reliability, validity and generalizability.
In this ppt i have a detailed information on Objectives of Business Research
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Project report on Financial Statement Analysis and interpretation of A CompanyPinkey Rana
This document provides a project report on the financial statement analysis and interpretation of C.B Enterprises conducted as a summer training. It includes an introduction to the company S.D Gupta & Company, the objectives of analyzing and interpreting financial statements, and an overview of the key components of financial statements including the balance sheet, income statement, and financial ratios. The report then presents an analysis of the financial statements and ratios of C.B Enterprises for 2014-2015, including comparisons between the two years. It finds that while the company's liquidity position is good, many of its ratios related to profitability, expenses, and returns are below industry standards. The report concludes with recommendations for improving the company's performance.
Ms. Cheritha, the advertising manager for Chemical Topics magazine, is responsible for selling advertising space. The magazine is distributed solely by subscription to engineers and technical professionals in the chemical processing industry. Major advertisers are companies that produce chemical processing equipment.
Ms. Cheritha wants to collect more detailed data on the readership to provide more value to potential advertisers. She has circulation figures but believes they understate the exposure of ads since issues are likely shared with others in a subscriber's firm. She wants to determine the size of this "secondary audience" and gather more reader details like education, job role, and hierarchy level.
This document appears to be a student project report comparing the performance of Alliance Insurance Company to its competitors in India. It includes an introduction covering the history and development of the general insurance industry in India. It then provides profiles of Alliance Insurance Company and its products. The remainder of the report outlines the objectives, scope, methodology and findings of the comparative performance analysis conducted between Alliance and other insurance companies.
This document discusses the topic of probability and its applications in business. It defines probability theory and describes three types of probability: classical, empirical, and subjective. Probability distributions are also introduced. The document then discusses how probability is used in business for calculating long-term gains and losses, risk evaluation, sales forecasting, manufacturing decisions, and scenario analysis.
1. The document discusses ratio analysis and financial analysis. Ratio analysis is a tool that evaluates the financial position and performance of a firm by establishing relationships between financial statement items.
2. Financial analysis identifies the financial strengths and weaknesses of a firm. It is done by analyzing ratios calculated from a firm's balance sheet and income statement. Key ratios include liquidity ratios, profitability ratios, and leverage ratios.
3. Ratio analysis involves comparing a firm's ratios to standards like its own past ratios, competitor ratios, industry averages, and projected ratios. This allows users to evaluate the firm's financial stability, profitability, and efficiency over time.
The document discusses the Boston Consulting Group (BCG) Matrix, which classifies business units into four categories based on their relative market share and market growth rate: Question Marks, Stars, Cash Cows, and Dogs. Question Marks have high growth but low market share, requiring high investment. Stars have high growth and market share but also require heavy investment. Cash Cows have low growth but high market share, generating cash with little investment. Dogs have low growth and market share and are cash traps. The BCG Matrix helps assess a product portfolio, cash demands, resource allocation, and divestment decisions.
The sampling design process involves 6 steps: 1) define the target population, 2) determine the sampling frame, 3) select sampling techniques, 4) determine the sample size, 5) execute the sampling process, and 6) analyze results. Key factors in determining sample size include importance of decision, number of variables, resource constraints, and incidence rates. Common sampling techniques include probability methods like simple random sampling, stratified sampling, and cluster sampling as well as non-probability methods like convenience sampling and judgmental sampling. Each technique has strengths and weaknesses related to representativeness, precision, bias, and feasibility.
Project titles for mba research projectEzhil Arasan
This document lists various potential marketing, finance, and research project topics. The marketing topics section includes 27 items related to areas like market research, product development, pricing, advertising, branding, and customer relationship management. The finance topics section lists 14 major topics including cash management, working capital, inventory control, and risk management. Finally, the research projects section provides 165 potential project ideas focused on topics such as financial analysis, working capital management, mutual funds, banking, inventory control, and ratio analysis.
Financial analysis of TATA TELESERVICES LTDKHALIL AHMAD
Tata Teleservices is an Indian telecommunications company that offers fixed and mobile telephony, broadband, and other network services. It has over $7.5 billion committed to communications investments. The document provides an overview of Tata Teleservices, including its products and financial performance from 2010-2014 based on ratio analysis of financial statements. Key ratios show the company's profitability declined and losses increased over this period while current ratio decreased, indicating worsening liquidity and solvency.
Content of Project Synopsis
The project synopsis needs to be prepared keeping in mind the following points.
a) Title of the project
– Maximum 20 words
b) Introduction and Objectives of the Study
- Maximum 200 words
c) Problem Statement (including Literature Review)
– Maximum 500 words
d) Research Methodology and References
– Maximum 500 words
Components of Project Report
1. Title of the Project
2. Introduction of the Study
3. Objective(s) of the Study
4. Literature Review
5. Research Methodology
6. Research Hypotheses
7. Research Model
8. Research Plan
9. Sampling Plan
10. Research Procedure
11. Data analysis & Interpretation
12. Results & Discussions
13. Suggestions/Recommendations
14. Limitations and Scope of Future Research
15. Conclusion
16. Bibliography
Mergers and acquisitions allow companies to achieve growth objectives like profits, market dominance and survival. The document discusses the definitions, types, strategies and benefits of mergers and acquisitions. It provides examples of major M&A deals including Tata Steel-Corus ($12.2B), Vodafone-Hutchison Essar ($11.1B) and Hindalco-Novelis ($6B) and discusses challenges like integration difficulties and overly diversified operations that can arise from mergers and acquisitions. The conclusion emphasizes learning from others' mistakes, clearly defining objectives, and acquiring expertise to interpret changes.
The document discusses the moving average method for forecasting or smoothing time series data. It explains that a moving average is calculated by averaging successive data points over a set time period, with old data dropped as new data is added. The document outlines how to calculate moving averages for both odd and even time periods. It also discusses the merits and limitations of the moving average method, and provides an example calculation.
The document discusses the Altman Z-score formula, which was published in 1968 and can be used to predict bankruptcy. The formula uses five financial ratios to calculate a score. A score below 1.8 indicates likely bankruptcy, while a score between 1.8-3 means bankruptcy is possible and above 3 means the company is financially stable. The formula is: 1.2A+1.4B+3.3C+0.6D+1.0E. It requires data from a company's balance sheet and income statement. While the Z-score can help determine bankruptcy risk, it does not work for new companies and does not directly consider cash flow.
The document defines research as a systematic process of investigation to establish new facts or verify existing knowledge through careful data collection and analysis. Business research specifically aims to provide information to guide managerial decisions by systematically acquiring, analyzing, and disseminating relevant data. The role of business research has increased in importance due to factors like global competition, advances in technology, and the need for data-driven decision making in complex business environments.
1) To understand the underlying structure of Time Series represented by sequence of observations by breaking it down to its components.
2) To fit a mathematical model and proceed to forecast the future.
This document provides an overview of time series analysis and its key components. It discusses that a time series is a set of data measured at successive times joined together by time order. The main components of a time series are trends, seasonal variations, cyclical variations, and irregular variations. Time series analysis is important for business forecasting, understanding past behavior, and facilitating comparison. There are two main mathematical models used - the additive model which assumes data is the sum of its components, and the multiplicative model which assumes data is the product of its components. Decomposition of a time series involves discovering, measuring, and isolating these different components.
Probability Case Study Rheam, Smith, Gandhotraguest3c11a5
This document discusses probability and uses the birthday problem to calculate the probability of two or more passengers on a flight having the same birthday. It finds that with 20 passengers there is a 41.15% chance of a match, with 30 passengers the chance is 70.63%, and with 40 passengers the chance is 89.12%. It then calculates the expected number of prize awards per month for the airline's promotional contest based on these probabilities. The document demonstrates that the probability of matches is higher than the marketing director's initial assessment and establishes the concept of independent events in probability calculations.
- The document discusses the Afterschoool Centre for Social Entrepreneurship and its PGPSE program, which aims to develop social entrepreneurs through comprehensive training.
- The 3-year program can be done fully online or part-time, and covers topics like social development, spirituality in business, rural transformation, and more through case studies, workshops, and projects.
- The goal is to promote entrepreneurship to help society and enable people to take up social causes or franchise opportunities to create businesses or social projects.
MBA 1st year statitics - Data Analytics projectRohit Deshmukh
This document provides an outline for a research project on studying water supply in Kalyan, India. It includes an introduction on the importance of safe drinking water. The problem statement aims to study the water supply by the Kalyan-Dombivli Municipal Corporation (KDMC). The research objectives are to study the impact of KDMC's water supply, sources, and distribution system. The research design will use exploratory and descriptive methods with a sample size of 120 people. Statistical tools like standard deviation will be used to analyze data from surveys and questionnaires. Key findings will address hypotheses about the impact of KDMC, sources, and distribution system on water quality.
Comparative and Non-Comparative Scaling TechniquesVarsha Prakash
This document discusses and compares various scaling techniques used in business research methods. It describes comparative scaling techniques like pairwise comparison and rank-ordering that directly compare items, as well as non-comparative techniques like Likert scales and semantic differential scales that independently scale each item. The document also discusses different data types that can be measured, including nominal, ordinal, interval and ratio levels, and how this influences scale construction. It concludes by emphasizing the importance of testing scales for reliability, validity and generalizability.
In this ppt i have a detailed information on Objectives of Business Research
Subscribe to Vision Academy for Video assistance https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
Project report on Financial Statement Analysis and interpretation of A CompanyPinkey Rana
This document provides a project report on the financial statement analysis and interpretation of C.B Enterprises conducted as a summer training. It includes an introduction to the company S.D Gupta & Company, the objectives of analyzing and interpreting financial statements, and an overview of the key components of financial statements including the balance sheet, income statement, and financial ratios. The report then presents an analysis of the financial statements and ratios of C.B Enterprises for 2014-2015, including comparisons between the two years. It finds that while the company's liquidity position is good, many of its ratios related to profitability, expenses, and returns are below industry standards. The report concludes with recommendations for improving the company's performance.
Ms. Cheritha, the advertising manager for Chemical Topics magazine, is responsible for selling advertising space. The magazine is distributed solely by subscription to engineers and technical professionals in the chemical processing industry. Major advertisers are companies that produce chemical processing equipment.
Ms. Cheritha wants to collect more detailed data on the readership to provide more value to potential advertisers. She has circulation figures but believes they understate the exposure of ads since issues are likely shared with others in a subscriber's firm. She wants to determine the size of this "secondary audience" and gather more reader details like education, job role, and hierarchy level.
This document appears to be a student project report comparing the performance of Alliance Insurance Company to its competitors in India. It includes an introduction covering the history and development of the general insurance industry in India. It then provides profiles of Alliance Insurance Company and its products. The remainder of the report outlines the objectives, scope, methodology and findings of the comparative performance analysis conducted between Alliance and other insurance companies.
This document discusses the topic of probability and its applications in business. It defines probability theory and describes three types of probability: classical, empirical, and subjective. Probability distributions are also introduced. The document then discusses how probability is used in business for calculating long-term gains and losses, risk evaluation, sales forecasting, manufacturing decisions, and scenario analysis.
1. The document discusses ratio analysis and financial analysis. Ratio analysis is a tool that evaluates the financial position and performance of a firm by establishing relationships between financial statement items.
2. Financial analysis identifies the financial strengths and weaknesses of a firm. It is done by analyzing ratios calculated from a firm's balance sheet and income statement. Key ratios include liquidity ratios, profitability ratios, and leverage ratios.
3. Ratio analysis involves comparing a firm's ratios to standards like its own past ratios, competitor ratios, industry averages, and projected ratios. This allows users to evaluate the firm's financial stability, profitability, and efficiency over time.
The document discusses the Boston Consulting Group (BCG) Matrix, which classifies business units into four categories based on their relative market share and market growth rate: Question Marks, Stars, Cash Cows, and Dogs. Question Marks have high growth but low market share, requiring high investment. Stars have high growth and market share but also require heavy investment. Cash Cows have low growth but high market share, generating cash with little investment. Dogs have low growth and market share and are cash traps. The BCG Matrix helps assess a product portfolio, cash demands, resource allocation, and divestment decisions.
The sampling design process involves 6 steps: 1) define the target population, 2) determine the sampling frame, 3) select sampling techniques, 4) determine the sample size, 5) execute the sampling process, and 6) analyze results. Key factors in determining sample size include importance of decision, number of variables, resource constraints, and incidence rates. Common sampling techniques include probability methods like simple random sampling, stratified sampling, and cluster sampling as well as non-probability methods like convenience sampling and judgmental sampling. Each technique has strengths and weaknesses related to representativeness, precision, bias, and feasibility.
Project titles for mba research projectEzhil Arasan
This document lists various potential marketing, finance, and research project topics. The marketing topics section includes 27 items related to areas like market research, product development, pricing, advertising, branding, and customer relationship management. The finance topics section lists 14 major topics including cash management, working capital, inventory control, and risk management. Finally, the research projects section provides 165 potential project ideas focused on topics such as financial analysis, working capital management, mutual funds, banking, inventory control, and ratio analysis.
Financial analysis of TATA TELESERVICES LTDKHALIL AHMAD
Tata Teleservices is an Indian telecommunications company that offers fixed and mobile telephony, broadband, and other network services. It has over $7.5 billion committed to communications investments. The document provides an overview of Tata Teleservices, including its products and financial performance from 2010-2014 based on ratio analysis of financial statements. Key ratios show the company's profitability declined and losses increased over this period while current ratio decreased, indicating worsening liquidity and solvency.
Content of Project Synopsis
The project synopsis needs to be prepared keeping in mind the following points.
a) Title of the project
– Maximum 20 words
b) Introduction and Objectives of the Study
- Maximum 200 words
c) Problem Statement (including Literature Review)
– Maximum 500 words
d) Research Methodology and References
– Maximum 500 words
Components of Project Report
1. Title of the Project
2. Introduction of the Study
3. Objective(s) of the Study
4. Literature Review
5. Research Methodology
6. Research Hypotheses
7. Research Model
8. Research Plan
9. Sampling Plan
10. Research Procedure
11. Data analysis & Interpretation
12. Results & Discussions
13. Suggestions/Recommendations
14. Limitations and Scope of Future Research
15. Conclusion
16. Bibliography
Mergers and acquisitions allow companies to achieve growth objectives like profits, market dominance and survival. The document discusses the definitions, types, strategies and benefits of mergers and acquisitions. It provides examples of major M&A deals including Tata Steel-Corus ($12.2B), Vodafone-Hutchison Essar ($11.1B) and Hindalco-Novelis ($6B) and discusses challenges like integration difficulties and overly diversified operations that can arise from mergers and acquisitions. The conclusion emphasizes learning from others' mistakes, clearly defining objectives, and acquiring expertise to interpret changes.
The document discusses the moving average method for forecasting or smoothing time series data. It explains that a moving average is calculated by averaging successive data points over a set time period, with old data dropped as new data is added. The document outlines how to calculate moving averages for both odd and even time periods. It also discusses the merits and limitations of the moving average method, and provides an example calculation.
The document discusses the Altman Z-score formula, which was published in 1968 and can be used to predict bankruptcy. The formula uses five financial ratios to calculate a score. A score below 1.8 indicates likely bankruptcy, while a score between 1.8-3 means bankruptcy is possible and above 3 means the company is financially stable. The formula is: 1.2A+1.4B+3.3C+0.6D+1.0E. It requires data from a company's balance sheet and income statement. While the Z-score can help determine bankruptcy risk, it does not work for new companies and does not directly consider cash flow.
The document defines research as a systematic process of investigation to establish new facts or verify existing knowledge through careful data collection and analysis. Business research specifically aims to provide information to guide managerial decisions by systematically acquiring, analyzing, and disseminating relevant data. The role of business research has increased in importance due to factors like global competition, advances in technology, and the need for data-driven decision making in complex business environments.
1) To understand the underlying structure of Time Series represented by sequence of observations by breaking it down to its components.
2) To fit a mathematical model and proceed to forecast the future.
This document provides an overview of time series analysis and its key components. It discusses that a time series is a set of data measured at successive times joined together by time order. The main components of a time series are trends, seasonal variations, cyclical variations, and irregular variations. Time series analysis is important for business forecasting, understanding past behavior, and facilitating comparison. There are two main mathematical models used - the additive model which assumes data is the sum of its components, and the multiplicative model which assumes data is the product of its components. Decomposition of a time series involves discovering, measuring, and isolating these different components.
Probability Case Study Rheam, Smith, Gandhotraguest3c11a5
This document discusses probability and uses the birthday problem to calculate the probability of two or more passengers on a flight having the same birthday. It finds that with 20 passengers there is a 41.15% chance of a match, with 30 passengers the chance is 70.63%, and with 40 passengers the chance is 89.12%. It then calculates the expected number of prize awards per month for the airline's promotional contest based on these probabilities. The document demonstrates that the probability of matches is higher than the marketing director's initial assessment and establishes the concept of independent events in probability calculations.
- The document discusses the Afterschoool Centre for Social Entrepreneurship and its PGPSE program, which aims to develop social entrepreneurs through comprehensive training.
- The 3-year program can be done fully online or part-time, and covers topics like social development, spirituality in business, rural transformation, and more through case studies, workshops, and projects.
- The goal is to promote entrepreneurship to help society and enable people to take up social causes or franchise opportunities to create businesses or social projects.
Cebu Pacific Air is the largest domestic carrier in the Philippines with over 45% market share. To maintain its popularity and market leadership against growing competition, the case analysis recommends that Cebu Pacific strengthen its customer service before, during, and after flights. It also suggests adding more domestic and international flight routes to popular tourist destinations. This will provide customers with more options while also promoting tourism in the Philippines and generating more profits for the airline. The action plan outlines hiring new employees, training, announcing new routes and promo fares from January to June 2011, then monitoring key metrics like passenger volume and customer satisfaction on a monthly basis.
Man finds large canvas bag floating in river containing a body. Preliminary investigation cannot determine the victim's sex, race, or age. Presenters analyze the case using classical probability methods to predict victim and offender profiles based on FBI crime statistics. Forensic analysis later reveals the victim was a white female, contradicting the predicted victim profile of a white male. The presenters update their analysis and predict there is a 75.7% probability the offender is a white male based on the victim's characteristics. They provide an "official offender profile posting" seeking a white male as a person of interest.
A body was found in a bag floating in a river by a fisherman. The preliminary investigation revealed an unidentified body that could not immediately determine sex, age, or race. Forensics was tasked with identifying the victim and cause of death. Based on crime statistics, the most likely profile for the victim was a white male, and the most likely profile for the offender was a black male. However, the joint probability analysis showed it was more likely the victim and offender were the same race and gender. The preliminary forensic report identified the victim as a white female, contradicting the initial predictions.
A body was found in a bag floating in a river by a fisherman. The preliminary investigation revealed an unidentified victim whose sex, age, and race could not be determined. Forensics was tasked with identifying the victim and determining the cause and time of death. Based on crime statistics, the best prediction for the victim's profile was a white male. The best prediction for the offender's profile was a black male. However, further analysis found a white female victim, inconsistent with the initial predictions.
White males ages 20-29 are most likely to be victims of a crime based on analysis of victim demographics and crime statistics in the given metropolitan area. Violent crimes like aggravated assault are most common, accounting for 50% of reported crimes. A body found in the area would have a 71% chance of being male, with the highest probabilities being a white (52%) or black (45%) male between 20 and 29 years old.
This document outlines Whitney Kilgore's portfolio for her PhD defense. It includes sections on her professional background, creative works, scholarly writing, and presentations. It highlights her experience developing online programs, facilitating communities on Twitter, and research interests in online learning communities, social media, video and presence, and micro-credentials. Her scholarly writing includes publications in journals and a book chapter. Upcoming presentations are listed on badges-first learning design and a MOOC she created.
IBM was able to extract additional business value from its large sales pipeline database by leveraging business analytics tools, cloud computing resources, and innovative thinking. Two IBM managers developed a new analytics environment using Cognos tools on a provisioned cloud mainframe to more easily identify trends, problems, and opportunities from the database. The new graphical interface provided insights faster and with more accuracy than previous manual processes. This showed how existing data and computing resources can be optimized through analytics to create significant business value.
A case study describing a conflicting situation between the manager and the employee due to miscommunication and how the manager handled it efficiently.
Recruiting a business development team for an awarding & professional bodyFJWilson Talent Services
The document summarizes FJWilson Talent Services' (FJWTS) successful recruitment of a regional business development team for the Association of Accounting Technicians (AAT) in 2012 and 2013. FJWTS conducted thorough assessments of AAT's needs, identified and prepared qualified candidates, and communicated clearly throughout the process. AAT was highly satisfied with the calibre of candidates provided by FJWTS, who added value to AAT's business goals.
Este documento presenta tres metodologías de inteligencia artificial (IA) relevantes para el estudio de la incertidumbre en la cadena de suministro: 1) simbolismo, que se basa en el procesamiento de símbolos; 2) conexionismo, que incluye redes neuronales artificiales; y 3) conductismo, que se enfoca en la relación entre percepción y acción. Dentro de estas metodologías, los modelos más estudiados para la planificación de la cadena de suministro son los lenguajes de programación lógica, los sist
- A body was found in a bag floating in a river by a fisherman. Preliminary investigation revealed it was a body of an unidentified white female.
- Forensic analysis estimated she had been in the water for at least two weeks and was in her mid-thirties with blonde hair and no jewelry.
- Using crime statistics, the preliminary profile predicted the victim was most likely a white male and the offender was most likely a black male. However, the autopsy report did not match this profile.
The document summarizes statistics about victims and offenders of violent crimes. It analyzes the data to determine the most likely profiles of the victim and offender in an unknown case. Based on the statistics, it finds that a white male victim and black male offender have the highest probabilities. However, this does not match the initial information provided about the victim.
The document describes the current project lifecycle and organization at Smartbank, which follows a traditional waterfall SDLC methodology. This approach is not well-suited for agile software development. The CIO wants to improve agility, quality, and responsiveness. Key changes recommended include adopting agile methods like Scrum, reorganizing into cross-functional teams, and establishing roles like a VP of Program Management to oversee delivery. Challenges to transitioning include training, adoption of practices like test-driven development, and potential resistance to change.
How to supervise employees with low self esteemEmpxtrack Inc.
A subordinate made a small mistake in her code that was against documented practices. When the supervisor shared the issue with her, she responded by saying "I am a fool and perhaps that's why it happened", belittling herself. This shut down opportunities for improvement. The supervisor was surprised by her response as she was a star performer. The supervisor reflected on whether they had unintentionally made her feel bad or if she was manipulating them to avoid responsibility. They considered whether this was a one-off issue or if her self-esteem was declining, and how they could help her.
Undergraduate Project written by EBERE on ANALYSIS OF VARIATION IN GSKEbere Uzowuru
This document discusses analysis of variance (ANOVA) and its use in quality control and manufacturing processes. It provides background on the development of ANOVA, beginning in the 1930s and growing rapidly after World War II. It then discusses key concepts in ANOVA like partitioning variance, comparing multiple group means, and hypothesis testing. The rest of the document discusses specific tools used with ANOVA like control charts, histograms, Pareto charts, fishbone diagrams and their uses in identifying sources of variation and improving processes.
Budgeting forecasting and cost control management techniques september, lagosPetro Nomics
This document provides information about a 3-day training course on budgeting forecasting and cost control management techniques. The course will cover topics such as the budgeting process, building budgets and forecasts, sensitivity and scenario analysis, and using economic data. It will take place in Lagos, Nigeria from September 7-9, 2015. The course aims to help participants build sophisticated budgets and forecasts for the oil and gas industry and improve budgeting and forecasting processes.
Statistical Analysis of Left-Censored Geochemical DataMSTomlinson
Geochemical datasets frequently contain left-censored data, i.e., the actual concentration falls in the range between 0 and the detection limit (DL). These data are referred to as nondetects (NDs). An ND does not necessarily mean the analyte was not present but, if it was present, it was at a concentration below the DL. In addition to NDs, contract labs often report estimated values (often flagged with a “J”) which lie between the DL and the reporting limit (RL). The RL is the level at or above which the lab will state the result is quantitative. A common approach to statistically analyzing left-censored data is to use substitution (e.g., ½DL). Although still a common practice, substitution can introduce bias to statistical analyses. Fortunately, there are a number of statistical techniques specifically designed to handle left-censored data that do not compromise the results of statistical analyses by using substitution. All of these techniques work with NDs and some work with estimated data. There are a number of techniques for calculating summary statistics for left-censored data including nonparametric Kaplan-Meier survival statistics, regression on order statistics (ROS), and the Turnbull interval-censored method. As the name implies, the Turnbull method works with interval censored data (i.e., quantitative data ≥RL, DL-RL [estimated], and 0-DL). In the latter two cases, an interval is used, i.e., the true value lies somewhere within the interval but picking a single value such as ½DL is not required. Interval-censored data can also be used on multivariate ordination techniques such as nonmetric multidimensional scaling (NMDS) and the interval-censored score test – an analog of the generalized Wilcoxon test. Kendall’s tau (τ) is a nonparametric correlation analysis that can be applied to left-censored data. For this test, the estimated (J-flagged) values are used. Kendall’s τ is analogous to the familiar parametric Pearson’s r and, like Pearson’s r, the test for Kendall’s τ also provides a measure of the correlation significance. The case study for this presentation will include the geochemical data and statistical results from the Hawaiʻi Ordnance Reef Follow-Up investigation of the U.S. Army’s Remotely Operated Underwater Munitions Recovery System.
This document defines and explains time series analysis. It contains:
- A definition of time series as observations taken at specified time intervals, usually equal.
- Time series establish relationships between an independent variable (time) and dependent variable (data).
- Components of time series include trends, seasonal variations, cyclical variations, and irregular variations.
- Methods for measuring trends include free hand curve, semi-average, moving average, and least squares.
- Time series analysis has various applications including forecasting, budgeting, stock analysis, and economic forecasting.
This document provides an introduction to time series analysis. It defines a time series as a set of observations taken at regular intervals over time. A time series can help establish relationships between causes and effects by examining how one variable, such as time, influences another, like data. The key components of a time series are identified as the secular trend, seasonal variation, cyclical variation, and irregular variation. Methods for analyzing time series components include the moving average method and least squares method. The document also discusses the importance of time series analysis for areas like forecasting, inventory studies, and economic analysis.
Business forecasting and timeseries analysis phpapp02MD ASADUZZAMAN
This document discusses time series analysis and forecasting. It defines forecasting as making predictions about the future based on past data and trends. Business forecasting estimates future sales, expenses, and profits. Time series analysis establishes relationships between variables over time. Key components of time series that influence trends include seasonal, cyclical, secular, and irregular variations. Common forecasting methods mentioned are regression analysis, exponential smoothing, and time series analysis. Measurement of trends can be done using techniques like least squares, moving averages, and semi-averages.
This document discusses time series analysis and its key components. It begins by defining a time series as a sequence of data points measured over successive time periods. The four main components of a time series are identified as: 1) Trend - the long-term pattern of increase or decrease, 2) Seasonal variations - repeating patterns over 12 months, 3) Cyclical variations - fluctuations lasting more than a year, and 4) Irregular variations - unpredictable fluctuations. Two common methods for measuring trends are introduced as the moving average method and least squares method. Formulas and examples are provided for calculating trend values using these techniques.
This document defines time series and its components. A time series is a set of observations recorded over successive time intervals. It has four main components: trend, seasonality, cycles, and irregular variations. Trend refers to the overall increasing or decreasing tendency over time. Seasonality refers to predictable changes that occur around the same time each year. Cycles have periods longer than a year. Irregular variations are random fluctuations. The document also discusses methods for analyzing time series components including additive, multiplicative, and mixed models.
Basic Concepts, Components of time series. The trend, Fitting of trend by least square method and moving average method, uses of time series in business.
The document discusses time series analysis and its key components. It defines a time series as a set of data points indexed (or listed or graphed) in time order. A time series collects readings of a variable at evenly-spaced periods of time. It notes that time is the independent variable while the data is the dependent variable. The document outlines the main components of time series as trends, seasonal variations, cyclical variations, and irregular variations. It provides examples and discusses methods for measuring each component, including free hand curve, semi-average, moving average, and least squares. The purposes and importance of time series analysis are also highlighted.
The document provides an overview of time series analysis, including definitions, components, and methods for measuring trends, seasonal variations, cyclical variations, and irregular variations in time series data. It discusses adjusting raw time series data, measuring linear and nonlinear trends, converting annual trends to monthly trends, and different methods for measuring seasonal, cyclical, and irregular variations, including indexes and averages. Examples are provided to illustrate calculating seasonal variations using the monthly average method.
Statistical Process ControlAgendaIntroductionNumber of.docxsusanschei
Statistical Process Control
Agenda
Introduction
Number of Ford Focus sold
Number of Ford Focus recalled
Summary and Recommendations
References
2
Introduction
Statistical Process Control
Method used for quality control
Ford Focus transmission problems
Statistical Process Control is a process that is used for quality control of a item. It monitors and control any process to ensure operations are at the full potential. In this case, Ford has been having many transmission issues with the Focus since 2012.
3
Number of Ford Focus sold
I Chart represents 1k units per month for last 40 months
Second chart: Yearly sales
Sales decreased by 89,133
Sales for the Focus have been on a rollercoaster ride since December 2015. When you observe the yearly sales you can see this vehicle has been on a rapid decline in sales.
4
I Control Chart
Sample Means1234567891011121314151617181920212223242526272829303132333435363738394011131919161719141211991010131413171516131210131171216131611997544721UCL1234567891011121314151617181920212223242526272829303132333435363738394015.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.45277698908495615.452776989084956Mean1234567891011121314151617181920212223242526272829303132333435363738394011.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.47511.475LCL123456789101112131415161718192021222324252627282930313233343536373839407.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.4972230109150447.497223010915044
Time Point
Thousand Per Month Value
Equipped cars with new shifting transmission (bad concept)
First year 3,469 reported.
This document appears to be a thesis submitted for a master's degree program. It includes an introduction outlining prior research on mean reversion of profitability and earnings. The literature review discusses theories of mean reversion in profitability and industry effects on firm performance. The document then outlines the research method and variable definitions to be used, and will present empirical results on mean reversion testing and industry-level analyses in subsequent chapters. It aims to examine mean reversion of UK firms from 1995-2009 and evaluate whether profitability reverts at the economy-wide or industry level.
The moving average formula of demand forecasting is explained herein with the help of an example in an easily understandable way. The ppt contains the meaning and formula of moving average along with an example.
This document provides a technical and fundamental analysis of Samsung stocks from 2006 to 2017. The technical analysis uses tools like trend analysis, moving averages, MACD, RSI, and Elliot waves to examine price movements and identify trends in Samsung's stock price over time. Key trends identified include upward, downward, and sideways movements. The fundamental analysis applies valuation metrics like earnings yield, dividend yield, and price-to-earnings ratio to evaluate Samsung's stock fundamentals. The document concludes with an integrated analysis of the technical and fundamental findings.
This document provides an overview of time series forecasting. It discusses key concepts such as:
- Time series data that records values over time can be used for forecasting future values. Examples include factory output per day and monthly sales.
- Plotting time series data helps identify trends like increasing, decreasing, or no trend over time. Regression analysis can also be used to identify linear trends and make predictions.
- Moving averages smooth out fluctuations by taking the average of values over a fixed time period, like 3 years. This helps identify trends more clearly.
- Components of a time series include trends, seasonal variations, cycles, and random variations. Additive and multiplicative models explain how these components combine
Applied Statistics Chapter 2 Time series (1).pptswamyvivekp
Time series analysis is used to forecast future activity and trends. It involves analyzing trends, seasonal variations, cyclical variations, and irregular fluctuations in data over time. There are several techniques for analyzing trends, including semi-averages, moving averages, least squares regression, and exponential smoothing. Accurately identifying trends can help organizations plan for changes but forecasting also carries risks of uncertainty.
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The nature of co-movement between total output and employment during the 1990s indicates that the relationship between employment growth and economic activity has been peculiar in Finland. This has been reflected, for example, in the developments of aggregate labour productivity. In particular, the years from 1992 to 1994 were exceptional. During that period productivity growth was very rapid, and, what is important, the trend of aggregate labour productivity shifted upwards. By only analysing the relationship between total output and employment it is impossible to say what happened during the period between 1992 and 1994. In this paper the relationship is analysed by utilizing industry-level data. The analysis shows that the rapid growth in aggregate productivity and the upward shift in the productivity trend mainly reflect similar developments in manufacturing, particularly in the metal industry. Even though the investigation is based on the use of industry-level data, it is still aggregative, which makes the interpretation of the results less clearcut. The existing studies which are based on the use of micro-level (e.g. plant-level) data support the interpretation which emphasizes the role of business restructuring and labour reallocation within manufacturing as the causes of rapid productivity growth and the upward shift in the trend productivity. The analysis is based on the estimation of simple structural VAR models.
This document discusses different types of company meetings. A company meeting occurs when members of a company gather to discuss business affairs. There are statutory meetings like the statutory meeting that must be held within 6 months of incorporation and annual general meetings that must be held every year to discuss annual accounts and elect directors. Additionally, extraordinary general meetings can be held for special occasions. Board of director meetings are also discussed where the directors make company decisions and appoint officers.
The document defines business research as the systematic and objective process of generating information to aid business decisions. It discusses the differences between descriptive and analytical research, applied and fundamental research, quantitative and qualitative research, and conceptual and empirical research. Descriptive research reports what has happened, while analytical research attempts to explain causes and effects. Applied research aims to solve practical problems, while fundamental research formulates theories. Quantitative research uses numerical data and statistics, while qualitative research investigates underlying motives. Empirical research is based on observation and experimentation, while conceptual research interprets abstract ideas and theories.
This project report discusses electronic commerce (e-commerce). It defines e-commerce as business conducted over electronic networks like the internet. The report explains how e-commerce allows companies to establish online market presence and provides advantages for both businesses and consumers. It outlines the scope of e-commerce and lists the 10 best e-commerce companies in India, concluding that e-commerce has evolved to enable faster transactions through advanced internet technologies.
Studied about the Amul Ice Cream Company situated in India and analyzed its cost sheet on the basis of various aspects to answer some of the most important questions pertaining to its manufacturing costs and cost sheet.
Undertook a Business Research project in the second year of my undergraduate degree on the topic- Comparative Analysis between Pepsi and Coca Cola on the basis of various physical and chemical aspects.
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Greetings,
It is our pleasure to share with you our latest energy news from
NewBase 08 May 2025 Energy News issue - 1786 by Khaled Al Awadi
Regards
Founder & Senior Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
It is our pleasure to share with you our latest energy news from
NewBase 08 May 2025 Energy News issue - 1786 by Khaled Al Awadi
Regards
Founder & Senior Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
It is our pleasure to share with you our latest energy news from
NewBase 08 May 2025 Energy News issue - 1786 by Khaled Al Awadi
Regards
Founder & Senior Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USAGreetings,
It is our pleasure to share with you our latest energy news from
NewBase 08 May 2025 Energy News issue - 1786 by Khaled Al Awadi
Regards
Founder & Senior Editor - NewBase Energy
Khaled M Al Awadi, Energy Consultant
MS & BS Mechanical Engineering (HON), USA
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Case study on Business Statistics
1. Numerical Case Study
On
“Business Statistics”
By
Aditya Purohit
(BBA 2nd Year)
106/10 civil lines,
Ajmer 305001
Website: www.dezyneecole.com
2. NUMERICAL CASE STUDY ON TIME SERIES ANALYSIS:
(i) A Company produced Tea every economic year, the tea production of a
company are as follows:
Year Production
[‘000 lbs.]
Year Production
[‘000 lbs.]
1986 165 1998 280
1987 178 1999 351
1988 236 2000 320
1989 213 2001 370
1990 180 2002 366
1991 163 2003 325
1992 150 2004 256
1993 187 2005 304
1994 210 2006 291
1995 237 2007 271
1996 203 2008 274
1997 215 2009 272
Draw a time series graph on a graph paper relating to the following data and show
the trend by free hand curve and comment on the trend by giving emphasis in the
component of time series and business cycle and comment on the company’s
position and elaborate the stage or year of production according to the business
cycle.
3. (ii) Also find the trend of production by the method of a 3 yearly cycle and also
suggest the minimum and maximum level of production according to the time
series analysis and trend value for the company for the following data:
Year Production
[in tonnes]
2000 11
2001 12
2002 10
2003 8
2004 9
2005 10
2006 12
2007 11
2008 13
2009 14
4. SUMMARY
TOOLS and TECHNIQUES used in solving the case study:
Meaning of Analysis of Time Series:
“ A Time Series may be defined as a collection of magnitudes belonging to
different time periods, of some variable or composite of variables, such as
production of steel, per capita income, gross national product, production of
tobacco, or index of industrial production ”.
Utility of Time Series:
1. It helps in Understanding Past behavior.
2. It helps in forecasting.
3. It helps in evaluating Current Accomplishments.
4. It helps in Comparison.
Use of Long term or secular trend:
Ina time series secular trend means long term changes. In any time if we see the
changes between two periods, we will find increasing or decreasing or even a
constant trend.
Methods used in measuring long term or secular trend in case study:
(i) Free hand curve method.
(ii) Moving average method.
5. (i)
Comment on trend with emphasis on component of
time series
By observing the trend line and trend analysis from the graph, we can clearly
depict that it is a secular or long term trend component of time series and by
observation, we can analyze that an increasing trend has been seen in production of
the company from the starting year i.e. 1986 to 2009 (ignoring the short term
fluctuations) and high’s have been recorded in the year 1988, 1995, 1999(drastic),
2001, 2002, 2005 and 2007.
6. Comment according to the business cycle
According to the business cycle components, the years for different stages of
production are as follows:
YEARS IN
PROSPERITY STAGE: 1986, 1987, 1988, 1999, 2001 & 2002.
YEARS IN
DECLINE STAGE: 1989, 1990, 1991, 2000 & 2003.
YEARS IN
DEPRESSION STAGE: 1992, 1993 & 2004.
YEARS IN
IMPROVEMENT STAGE: 1994, 1995, 1996, 1997, 1998, 2005, 2006, 2007,
2008 & 2009.
By looking at the trend according to the business cycle, we observe that although
for five years company’s production declined, even it felt in depression stage for
three years but overall, company’s production have shown rapid improvement and
even prosperity.
Company has altogether managed to maintain its prosperity in production
and has shown remarkable improvement as compared to past years.
8. Comment according to the trend observed
By watching the trend analysis from the graph, we can clearly depict that for the
original data, minimum level of production has been recorded in the year 2003
which was 8 tonnes and the maximum level of production has been recorded in the
year 2009 which was 14 tonnes.
In the same way, by watching the trend analysis for 3 yearly moving
average, we can depict that the minimum level of production has been recorded
consistently for two years i.e. 2003 and 2004 which was 9 tonnes for both the years
and the maximum level of production has been recorded in the year 2008 which
was 13 tonnes.
Comparison of the two Graphs
(I: Graph from 1986 to 2009)
(II: 3 Yearly m.a. graph from 2000 to 2009)
If we compare the trend lines and trend analysis for both the graphs, we can clearly
remark that if the company would have produced as per the 3 yearly m.a. graph,
then it would have produced more in tones as compared to the production done by
the company from years 1986 to 2009.
REASON: As per the 3 yearly m.a. graph is concerned, it clearly shows that the
trend line has shown rapid growth significantly both for 3 yearly m.a. as well as for
original data.
9. Bibliography
On completing this case study successfully, I would like to thank my
subject teacher Ma’am Neha who cleared all my doubts regarding the
case study and for supporting me in every step of this case study and I
would also like to thank my parents who were always there with me in
every phase of the case study.