Don't you know the uses of statistics is our daily life? If yes then check out this presentation you will learn a lot more about the use of statistics in our daily life.
Stress is a person's response to threatening or challenging events called stressors. Stress can be categorized as either eustress, which are good stressors like accomplishments, or distress, which are bad stressors like injuries or illnesses. Hans Selye developed the general adaptation syndrome to describe the body's three stage response to stressors - alarm, resistance, and exhaustion. Managing stress involves identifying if you are stressed, the stressor causing it, the reason for the stressor, selecting a coping strategy, and then evaluating the effectiveness of the strategy.
This presentation gives you a brief idea;
-definition of frequency distribution
- types of frequency distribution
-types of charts used in the distribution
-a problem on creating types of distribution
-advantages and limitations of the distribution
Applications of statistics in daily lifeminah habib
Statistics is used to analyze and interpret collected data using measures like the mean, median, and mode. The mean is the average and is used by teachers to analyze student marks and by businesses to examine employee salaries and benefits. The median is the middle value and is used to analyze income distribution and player heights. The mode is the most frequent value and is used to study public transportation usage and the number of patients visiting hospitals. These statistical concepts have various applications in everyday life and business to understand data distributions and make comparisons.
Este documento presenta un análisis FODA personal donde se identifican las fortalezas como un buen estado de salud, flexibilidad, trabajo en equipo y responsabilidad; las oportunidades como el aumento de la demanda laboral en su carrera y acceso a programas de estudio en línea; las debilidades como falta de disciplina y conocimientos en algunas áreas; y las amenazas como competencia, problemas económicos y familiares.
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
The document discusses patterns in nature and mathematics. It defines a pattern as a visible regularity or order. Patterns can be seen in nature, such as stripes and spots on animals. Mathematics studies patterns, and patterns can also be observed in phenomena like the movement of stars. The document presents examples of logic patterns, number patterns, and word patterns. It provides word and number puzzles to identify the next item in a sequence. The goal is to help readers recognize commonly used patterns.
A power point presentation on statisticsKriace Ward
Statistics originated from Latin, Italian, and German words referring to organized states. Gottfried Achenwall is considered the "father of statistics" for coining the term to describe a specialized branch of knowledge. Modern statistics is defined as the science of judging collective phenomena through analysis and enumeration. While statistics can be an art and a science, its successful application depends on the skill of the statistician and their knowledge of the field being studied. Statistics are important across many domains from business, economics, and planning to the sciences. However, statistics also have limitations such as only studying aggregates, not individuals, and results being valid only on average and in the long run.
This document discusses hypospadias, a birth defect where the opening of the urethra is on the underside of the penis rather than at the tip. It defines hypospadias and describes the types, causes, risk factors, signs and symptoms, pathophysiology, treatment including surgery, and nursing management. Surgery is usually done between ages 6-24 months to reposition the urethral opening and straighten the penis. Postoperative care involves catheter care, monitoring for infection, and parental support. Without treatment, hypospadias can lead to abnormal penis appearance and potential fertility or urination issues.
1. The document discusses the introduction to statistics, providing definitions and explaining key concepts. It describes how statistics is used in various fields like education, business, medical research, and agriculture.
2. Statistics is defined as the science of collecting, organizing, summarizing, presenting, analyzing, and interpreting data. It can be used as both a science and an art. Statistics has various applications in fields like administration, business, education, and medical and agricultural research.
3. The document outlines the basic terminology used in statistics, including data, variables, observations, quantitative and qualitative data, continuous and discrete variables. It distinguishes between primary and secondary data and their characteristics.
Introductory Statistics discusses the definition and history of statistics. Statistics deals with quantitative or numerical data and is the scientific method of collecting, organizing, analyzing, and making decisions with quantitative data. Historically, Indian texts from the Mauryan period and Mughal period contained early forms of statistical analysis of topics like agriculture. The typical process of a statistical study involves defining objectives, identifying the population and characteristics, planning data collection, collecting and organizing data, performing statistical analysis, and drawing conclusions. Statistics is useful for simplifying complex data, quantifying uncertainty, discovering patterns to enable forecasting, and testing assumptions. Statistical techniques have various applications in fields like marketing, economics, finance, operations, human resources, information technology,
Statistics is the mathematical science pertaining to the collection, analysis, interpretation, and presentation of data. It is used across many fields to analyze past data and make predictions. Some key terms in statistics include the mean, which is the average value found by dividing the sum of all data points by the total number of data points. The mode is the data point that occurs most frequently. The median divides the data into two equal parts and represents the middle value. Statistics helps us make comparisons and informed decisions in areas like business, agriculture, education, medicine, sports, and more.
This presentation covers statistics, its importance, its applications, branches of statistics, basic concepts used in statistics, data sampling, types of sampling,types of data and collection of data.
10 everyday reasons why statistics are importantJason Edington
Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasting, and emergency preparedness. The document emphasizes that an important reason to study statistics is to be better consumers of information and understand when data may be manipulated.
This document discusses statistics and their uses in various fields such as business, health, learning, research, social sciences, and natural resources. It provides examples of how statistics are used in starting businesses, manufacturing, marketing, and engineering. Statistics help decision-makers reduce ambiguity and assess risks. They are used to interpret data and make informed decisions. However, statistics also have limitations as they only show averages and may not apply to individuals.
This document provides an introduction to statistics. It defines statistics as the scientific methods for collecting, organizing, summarizing, presenting and analyzing data to derive valid conclusions. Statistics is useful across many fields and careers as it helps make informed decisions based on data. The document outlines descriptive and inferential statistics, and notes that descriptive statistics simplifies complexity while inferential statistics allows for conclusions to be drawn. It also discusses types of data sources, including primary data collected directly and secondary data that has already been collected.
This document discusses different types of statistics used in research. Descriptive statistics are used to organize and summarize data using tables, graphs, and measures. Inferential statistics allow inferences about populations based on samples through techniques like surveys and polls. The key difference is that descriptive statistics describe samples while inferential statistics allow conclusions about populations beyond the current data.
Introduction to Statistics - Basic concepts
- How to be a good doctor - A step in Health promotion
- By Ibrahim A. Abdelhaleem - Zagazig Medical Research Society (ZMRS)
This document summarizes key concepts from an introduction to statistics textbook. It covers types of data (quantitative, qualitative, levels of measurement), sampling (population, sample, randomization), experimental design (observational studies, experiments, controlling variables), and potential misuses of statistics (bad samples, misleading graphs, distorted percentages). The goal is to illustrate how common sense is needed to properly interpret data and statistics.
This document provides information about statistics including its definition, origins, uses in different fields, and key statistical concepts. It defines statistics as the mathematical science pertaining to the collection, analysis, interpretation, and presentation of data. Some key points:
- Statistics originated from needs to base policy on demographic and economic data and has broadened to include collecting and analyzing data in general.
- It is widely used today in government, business, and natural and social sciences to make accurate inferences from data and decisions in uncertainty.
- The document also defines and provides examples of important statistical concepts including the mean, mode, and median.
This document provides an overview of basic statistics concepts. It defines statistics as the science of dealing with variability and uncertainty in data to make objective decisions. Key concepts discussed include populations, samples, variables, constants, and common statistical tools. Statistics involves both the mathematical analysis of data as well as the interpretation and presentation of results. The goal of statistics is to make observations about populations based on samples in order to draw accurate conclusions.
Statistics is the collection and analysis of data. There are two main branches: descriptive statistics, which organizes and summarizes data, and inferential statistics, which uses descriptive statistics to make predictions. Statistics starts with a question and uses data to provide information to help make decisions. It is widely used in business, health, education, research, social sciences, and natural resources.
Statistics originated from the Italian word 'stato' meaning state. Initially, kings and governments used statistics to collect information about a state's population, agriculture, wealth, and other areas to understand its administrative requirements. One of the earliest known censuses was carried out in Egypt in 3050 BC. In India, systematic collection of statistics began during the reign of Emperor Chandragupta Maurya in the 3rd century BC under the guidance of Kautilya as described in the Arthashastra text. During Emperor Akbar's rule from 1556-1605, officials like Raja Todar Mal kept detailed records of land and revenue which helped establish a systematic tax collection system. The British government began regular publication
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
Statistics is the science of collecting, analyzing, and interpreting numerical data. It has evolved from early uses by governments to understand populations for taxation and military purposes. Modern statistics developed in the 18th-19th centuries and saw rapid growth in the 20th century with advances in computing. Statistics has two main branches - descriptive statistics which involves data presentation and inference statistics which uses data analysis to make estimates and test hypotheses. Statistics is widely used across many fields including business, economics, mathematics, and banking to facilitate decision making.
This document discusses the scope and uses of statistics across various fields such as planning, economics, business, industry, mathematics, science, psychology, education, war, banking, government, sociology, and more. It outlines functions of statistics like presenting facts, testing hypotheses, forecasting, policymaking, enlarging knowledge, measuring uncertainty, simplifying data, deriving valid inferences, and drawing rational conclusions. It also covers characteristics, advantages, and limitations of statistics.
1. The document discusses the introduction to statistics, providing definitions and explaining key concepts. It describes how statistics is used in various fields like education, business, medical research, and agriculture.
2. Statistics is defined as the science of collecting, organizing, summarizing, presenting, analyzing, and interpreting data. It can be used as both a science and an art. Statistics has various applications in fields like administration, business, education, and medical and agricultural research.
3. The document outlines the basic terminology used in statistics, including data, variables, observations, quantitative and qualitative data, continuous and discrete variables. It distinguishes between primary and secondary data and their characteristics.
Introductory Statistics discusses the definition and history of statistics. Statistics deals with quantitative or numerical data and is the scientific method of collecting, organizing, analyzing, and making decisions with quantitative data. Historically, Indian texts from the Mauryan period and Mughal period contained early forms of statistical analysis of topics like agriculture. The typical process of a statistical study involves defining objectives, identifying the population and characteristics, planning data collection, collecting and organizing data, performing statistical analysis, and drawing conclusions. Statistics is useful for simplifying complex data, quantifying uncertainty, discovering patterns to enable forecasting, and testing assumptions. Statistical techniques have various applications in fields like marketing, economics, finance, operations, human resources, information technology,
Statistics is the mathematical science pertaining to the collection, analysis, interpretation, and presentation of data. It is used across many fields to analyze past data and make predictions. Some key terms in statistics include the mean, which is the average value found by dividing the sum of all data points by the total number of data points. The mode is the data point that occurs most frequently. The median divides the data into two equal parts and represents the middle value. Statistics helps us make comparisons and informed decisions in areas like business, agriculture, education, medicine, sports, and more.
This presentation covers statistics, its importance, its applications, branches of statistics, basic concepts used in statistics, data sampling, types of sampling,types of data and collection of data.
10 everyday reasons why statistics are importantJason Edington
Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasting, and emergency preparedness. The document emphasizes that an important reason to study statistics is to be better consumers of information and understand when data may be manipulated.
This document discusses statistics and their uses in various fields such as business, health, learning, research, social sciences, and natural resources. It provides examples of how statistics are used in starting businesses, manufacturing, marketing, and engineering. Statistics help decision-makers reduce ambiguity and assess risks. They are used to interpret data and make informed decisions. However, statistics also have limitations as they only show averages and may not apply to individuals.
This document provides an introduction to statistics. It defines statistics as the scientific methods for collecting, organizing, summarizing, presenting and analyzing data to derive valid conclusions. Statistics is useful across many fields and careers as it helps make informed decisions based on data. The document outlines descriptive and inferential statistics, and notes that descriptive statistics simplifies complexity while inferential statistics allows for conclusions to be drawn. It also discusses types of data sources, including primary data collected directly and secondary data that has already been collected.
This document discusses different types of statistics used in research. Descriptive statistics are used to organize and summarize data using tables, graphs, and measures. Inferential statistics allow inferences about populations based on samples through techniques like surveys and polls. The key difference is that descriptive statistics describe samples while inferential statistics allow conclusions about populations beyond the current data.
Introduction to Statistics - Basic concepts
- How to be a good doctor - A step in Health promotion
- By Ibrahim A. Abdelhaleem - Zagazig Medical Research Society (ZMRS)
This document summarizes key concepts from an introduction to statistics textbook. It covers types of data (quantitative, qualitative, levels of measurement), sampling (population, sample, randomization), experimental design (observational studies, experiments, controlling variables), and potential misuses of statistics (bad samples, misleading graphs, distorted percentages). The goal is to illustrate how common sense is needed to properly interpret data and statistics.
This document provides information about statistics including its definition, origins, uses in different fields, and key statistical concepts. It defines statistics as the mathematical science pertaining to the collection, analysis, interpretation, and presentation of data. Some key points:
- Statistics originated from needs to base policy on demographic and economic data and has broadened to include collecting and analyzing data in general.
- It is widely used today in government, business, and natural and social sciences to make accurate inferences from data and decisions in uncertainty.
- The document also defines and provides examples of important statistical concepts including the mean, mode, and median.
This document provides an overview of basic statistics concepts. It defines statistics as the science of dealing with variability and uncertainty in data to make objective decisions. Key concepts discussed include populations, samples, variables, constants, and common statistical tools. Statistics involves both the mathematical analysis of data as well as the interpretation and presentation of results. The goal of statistics is to make observations about populations based on samples in order to draw accurate conclusions.
Statistics is the collection and analysis of data. There are two main branches: descriptive statistics, which organizes and summarizes data, and inferential statistics, which uses descriptive statistics to make predictions. Statistics starts with a question and uses data to provide information to help make decisions. It is widely used in business, health, education, research, social sciences, and natural resources.
Statistics originated from the Italian word 'stato' meaning state. Initially, kings and governments used statistics to collect information about a state's population, agriculture, wealth, and other areas to understand its administrative requirements. One of the earliest known censuses was carried out in Egypt in 3050 BC. In India, systematic collection of statistics began during the reign of Emperor Chandragupta Maurya in the 3rd century BC under the guidance of Kautilya as described in the Arthashastra text. During Emperor Akbar's rule from 1556-1605, officials like Raja Todar Mal kept detailed records of land and revenue which helped establish a systematic tax collection system. The British government began regular publication
Chapter 1 Introduction to statistics, Definitions, scope and limitations.pptxSubashYadav14
This document provides an introduction to statistics, including definitions, scope, and limitations. It defines statistics as both numerical facts and the methods used to collect, analyze, and interpret those facts. Several authors' definitions of statistics are presented, emphasizing that statistics are aggregates of numerically expressed or estimated facts affected by multiple causes and collected systematically. The functions of statistics are described as simplifying data, enabling comparisons, and guiding policy decisions. The importance of statistics in fields like planning, business, economics, administration, and agriculture is discussed. Descriptive and inferential statistics are briefly introduced, as are some limitations of statistical analysis.
Statistics is the science of collecting, analyzing, and interpreting numerical data. It has evolved from early uses by governments to understand populations for taxation and military purposes. Modern statistics developed in the 18th-19th centuries and saw rapid growth in the 20th century with advances in computing. Statistics has two main branches - descriptive statistics which involves data presentation and inference statistics which uses data analysis to make estimates and test hypotheses. Statistics is widely used across many fields including business, economics, mathematics, and banking to facilitate decision making.
This document discusses the scope and uses of statistics across various fields such as planning, economics, business, industry, mathematics, science, psychology, education, war, banking, government, sociology, and more. It outlines functions of statistics like presenting facts, testing hypotheses, forecasting, policymaking, enlarging knowledge, measuring uncertainty, simplifying data, deriving valid inferences, and drawing rational conclusions. It also covers characteristics, advantages, and limitations of statistics.
This document provides an introduction to business statistics, including:
- Statistics involves collecting, analyzing, and presenting quantitative data. It is used across many fields including business.
- Descriptive statistics summarizes data, while inferential statistics allows making predictions from samples. Together they comprise applied statistics.
- Statistics is important in business for tasks like assessing risk, evaluating market research, and making financial decisions. Understanding statistics helps interpret numbers used in business.
This document provides an overview of statistics used in business management. It defines descriptive and inferential statistics, and notes some common applications like marketing, production, finance, and accounting. Statistics is important for planning, economics, industry, science, education, and war. The document outlines limitations of statistics and provides references for further reading.
The field of statistics is the study of learning from data. Statistical learning causes you to utilize the best possible strategies to gather the information, utilize the right investigations, and adequately present the outcomes
Statistics are used widely in many areas of real life including weather forecasting, emergency preparedness, disease prediction, education, genetics, politics, quality testing, business, banking, insurance, government administration, astronomy, and the natural and social sciences. Some key examples provided include how weather models use statistics to predict future weather, emergency teams rely on statistics to prepare for danger, disease rates are calculated using statistics, teachers evaluate students' performance statistically, and businesses use statistics to plan production and marketing.
7 excellent reasons why statistics are important statsworkStats Statswork
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Basic statistical & pharmaceutical statistical applicationsYogitaKolekar1
This is knowledge sharing PPT specially designed for Non-statisticians to understand basic fundamentals regarding statistics & related to pharmaceutical statistics.
How statistics involve in daily life as well as pharmaceutical industry etc., not limited.
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#IndependentDependentVariables #Tea #TypesofData #ClassificationofDiscreteVariableContinuousVariables #TypesofDataMeasurementScale
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Application of probability in daily life and in civil engineeringEngr Habib ur Rehman
This document provides examples of how statistics are used in various fields including civil engineering, real life situations, and the sciences. It discusses how statistics are applied in areas like weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business, insurance, consumer goods, management, medical studies, large companies, and the natural and social sciences. It also provides specific examples of applying statistics in civil engineering domains such as sanitary engineering, traffic engineering, surveying, coastal/port engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering.
Top 5 tips on how to learn statistics more effectivelyStat Analytica
In this infographic, you will go through how to learn statistics more effectively than ever before. Have a look at this infographic to start learning statistics
This document discusses the many uses of statistics in civil engineering and in daily life. It begins by defining statistics and then provides examples of how statistics are used in weather forecasting, emergency preparedness, psychology, the stock market, predicting disease, education, genetics, political campaigns, quality testing, banking, business management, insurance, consumer goods, government administration, medical studies, large companies, natural and social sciences, astronomy, sanitary engineering, traffic engineering, surveying, coastal engineering, geotechnical engineering, hydrology, environmental engineering, earthquake engineering, and structural engineering. Statistics are essential for planning experiments, collecting and analyzing data, and drawing conclusions in these diverse fields.
Statisticians help collect, analyze, and interpret numerical data to solve problems and make predictions. The steps of statistical analysis involve collecting information, evaluating it, and drawing conclusions. Statisticians work in a variety of fields such as medicine, government, education, business, and more. They help determine sampling methods, process data, and advise on the strengths and limitations of statistical results.
The world of stock market predictions is fascinating, intricate, and often elusive. Analysts and investors alike spend countless hours examining trends, scrutinizing data, and conducting comprehensive market research. Yet, despite the immense resources and sophisticated models employed, there remains a crucial element frequently overlooked. In this insightful document, we delve into the critical element that many investors and analysts often miss when making stock market predictions. Discover the hidden factors that can significantly impact your investment decisions and learn how to incorporate them into your analysis for better results.
🔍 Key Takeaways:
Understanding the overlooked variable in stock market predictions
How this factor affects market trends and stock prices
Practical tips for incorporating this element into your investment strategy.
Notes of BBA /B.Com as well as BCA. It will help average students to learn Business Statistics. It will help MBA and PGDM students in Quantitative Analysis.
1 10 everyday reasons why statistics are importantJason Edington
Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasts, and emergency preparedness. The document emphasizes that statistics is important to understand when data is being manipulated or to distinguish correlation from causation, and to better understand and interpret data presented.
This document discusses how to spot bad statistics and provides tips for evaluating statistical claims. It notes that statistics are an important tool but can also be misleading if not examined carefully. Some key things to consider about statistics are who conducted the study, what the statistics are measuring, who was surveyed, and how they were surveyed. When evaluating statistical claims, it's important to consider how the data was collected, if your own experiences are represented, and if the study accounts for uncertainty. The source of information and method of data collection can also impact the accuracy of statistics. Statistics can be helpful for market research and product design but advertisers may also use misleading statistics to influence consumers.
Statistics is the science of collecting, organizing, summarizing, analyzing, and interpreting data. It has its origins in Latin and other languages and refers to quantitative aspects of data management and meaningful interpretation. Statistics can be used in both plural and singular senses - referring either to numerical data or the methods used to analyze data. It is useful for converting random data into understandable information to aid in decision making. Statistics has important applications in business, government, industry, economics, and other fields for functions like presenting information simply, comparing facts, formulating policies, and forecasting.
Statistical analysis and Statistical process in 2023 .pptxFayaz Ahmad
Fayaz Ahmad (known as Feng fei in China) is a PhD scholar in Biostatistics and Epidemiology at Zhengzhou University in China. He has over 5 years of experience working in universities in Pakistan and has received several awards for his work, including developing a mosquito killing device. He is a member of the American Statistical Association and coordinates statistical training programs in Pakistan.
This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
Understanding between Visual Studio vs Visual Studio Code may depend on your work style and features and the language support you need. Here's the difference.
Top 8 Different Types Of Charts In Statistics And Their UsesStat Analytica
This document discusses different types of charts used in statistics to visually represent data, including bar charts, line charts, pie charts, histograms, scatter plots, exponential graphs, and trigonometric graphs. Bar charts and line charts are useful for comparing data across categories and showing trends over time. Pie charts show proportions of data as slices of a circle. Histograms group data into bins to summarize continuous or discrete measurements. Scatter plots show the relationship between two numeric variables using positioned dots. Exponential and trigonometric graphs visually represent their respective functions and are used in engineering and research.
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Most prominent methods of how to find outliers in statisticsStat Analytica
This document discusses two prominent methods for finding outliers in statistics: the interquartile range (IQR) method and the Tukey method. Both methods use quartiles to determine a range of values that are not outliers, and then identify outliers as any data points that fall above or below this range. The document provides examples of each method being applied to sample data sets to identify outlier values. It concludes by encouraging the use of these IQR and Tukey methods to solve problems involving outliers.
Top 7 types of Statistics Graphs for Data RepresentationStat Analytica
Are you struggling with choosing the right type of graph to represent your data set? if yes then have a look at this presentation to choose the best statistics graph to represent your data set.
The Comprehensive Guide on Branches of MathematicsStat Analytica
Are you struggling to get all the branches of mathematics? If yes then here is the best ever presentation that will help you to get all the branches of math. Here we have mentioned the basic mathematics branches to the advanced level.
Top 10 importance of mathematics in everyday lifeStat Analytica
Would you like to know the importance of mathematics? If yes, then have a look at this presentation to explore the top uses of mathematics in our daily life. Watch the presentation till the end to explore the importance of mathematics.
The document discusses data classification, which involves organizing data into categories to make it easier to analyze and retrieve. It covers the objectives of classification like arranging large volumes of data and highlighting similarities. The key types are one-way, two-way, and multi-way classification. Classification provides benefits like confidentiality, integrity, and availability of data. Methods involve scanning, identifying, separating data, and creating a classification policy.
Analysis of variance (ANOVA) everything you need to knowStat Analytica
Most of the students may struggle with the analysis of variance (ANOVA). Here in this presentation you can clear all your doubts in analysis of variance with suitable examples.
The Basics of Statistics for Data Science By StatisticiansStat Analytica
Want to learn data science, but don't know how to start learn data science from scratch? Here in this presentation you will going to learn the basics of statistics for data science. Start learn these basic statistics to get the good command over data science.
Top tips on how to learn math with these simple waysStat Analytica
Finding it difficult to learn math? If yes, then here are the best ever tips on how to learn math from basic to the advanced level. Follow all these tips to start leaning math and get decent command over math.
What are the uses of excel in our daily life?Stat Analytica
Excel is one of the most powerful spreadsheet software in the world. There are plenty of uses of excel in our daily life. Have a look on the top uses of excel in the world. Watch the presentation till the end to explore all the uses of excel.
Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
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How to Configure Public Holidays & Mandatory Days in Odoo 18Celine George
In this slide, we’ll explore the steps to set up and manage Public Holidays and Mandatory Days in Odoo 18 effectively. Managing Public Holidays and Mandatory Days is essential for maintaining an organized and compliant work schedule in any organization.
Computer crime and Legal issues Computer crime and Legal issuesAbhijit Bodhe
• Computer crime and Legal issues: Intellectual property.
• privacy issues.
• Criminal Justice system for forensic.
• audit/investigative.
• situations and digital crime procedure/standards for extraction,
preservation, and deposition of legal evidence in a court of law.
How to Create A Todo List In Todo of Odoo 18Celine George
In this slide, we’ll discuss on how to create a Todo List In Todo of Odoo 18. Odoo 18’s Todo module provides a simple yet powerful way to create and manage your to-do lists, ensuring that no task is overlooked.
This slide is an exercise for the inquisitive students preparing for the competitive examinations of the undergraduate and postgraduate students. An attempt is being made to present the slide keeping in mind the New Education Policy (NEP). An attempt has been made to give the references of the facts at the end of the slide. If new facts are discovered in the near future, this slide will be revised.
This presentation is related to the brief History of Kashmir (Part-I) with special reference to Karkota Dynasty. In the seventh century a person named Durlabhvardhan founded the Karkot dynasty in Kashmir. He was a functionary of Baladitya, the last king of the Gonanda dynasty. This dynasty ruled Kashmir before the Karkot dynasty. He was a powerful king. Huansang tells us that in his time Taxila, Singhpur, Ursha, Punch and Rajputana were parts of the Kashmir state.
How to Create Kanban View in Odoo 18 - Odoo SlidesCeline George
The Kanban view in Odoo is a visual interface that organizes records into cards across columns, representing different stages of a process. It is used to manage tasks, workflows, or any categorized data, allowing users to easily track progress by moving cards between stages.
Link your Lead Opportunities into Spreadsheet using odoo CRMCeline George
In Odoo 17 CRM, linking leads and opportunities to a spreadsheet can be done by exporting data or using Odoo’s built-in spreadsheet integration. To export, navigate to the CRM app, filter and select the relevant records, and then export the data in formats like CSV or XLSX, which can be opened in external spreadsheet tools such as Excel or Google Sheets.
Rock Art As a Source of Ancient Indian HistoryVirag Sontakke
This Presentation is prepared for Graduate Students. A presentation that provides basic information about the topic. Students should seek further information from the recommended books and articles. This presentation is only for students and purely for academic purposes. I took/copied the pictures/maps included in the presentation are from the internet. The presenter is thankful to them and herewith courtesy is given to all. This presentation is only for academic purposes.
Lecture 1 Introduction history and institutes of entomology_1.pptxArshad Shaikh
*Entomology* is the scientific study of insects, including their behavior, ecology, evolution, classification, and management.
Entomology continues to evolve, incorporating new technologies and approaches to understand and manage insect populations.
Lecture 2 CLASSIFICATION OF PHYLUM ARTHROPODA UPTO CLASSES & POSITION OF_1.pptxArshad Shaikh
*Phylum Arthropoda* includes animals with jointed appendages, segmented bodies, and exoskeletons. It's divided into subphyla like Chelicerata (spiders), Crustacea (crabs), Hexapoda (insects), and Myriapoda (millipedes, centipedes). This phylum is one of the most diverse groups of animals.
2. POINTS OF DISCUSSION
Overview
1. Predictions
2. Quality testing
3. Weather Forecasts
4. Emergency Preparedness
5. Predicting Disease
6. Political Campaigns
7. Insurance
8. Consumer Goods
9. Financial Market
10. Sports
Career Scope of statistics of Statistics
Conclusion
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3. OVERVIEW
Majority of students think that why they are studying
statistics and what are the uses of statistics in our daily
life. They also want to know the importance of
statistics is our daily life.
Statistics is a set of equations that allows us to solve
complex problems. These problems are usually based
on facts and figures. Sir Ronald Aylmer Fisher, is
known as the father of modern science of statistics.
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4. 1. Predictions
The figures help us make predictions
about something that is going to
happen in the future. Based on what
we face in our daily lives, we make
predictions.
How accurate this prediction will
depend on many factors. When we
make a prediction, we take into
account the external or internal
factors that may affect our future.
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5. 2. Quality testing
Quality testing is another important
use of statistics in every area of life.
On a day-to-day basis, we conduct
quality tests to ensure that our
purchase is correct and get the best
results from what we spend.
We do a sample test of what we
expect to buy to get the best. If the
sample test that we have done passes
the quality test, we want to buy it.
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6. 3. Weather
Forecasts
Have you ever seen weather
forecasting? Do you know how the
government does the weather
forecasting? Statistics play a crucial
role in weather forecasting.
The computer use in weather
forecasting is based on the set of
statistics functions. All these statistics
function to compare the weather
condition with the pre-recorded
seasons and conditions.
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7. 4. Emergency
Preparedness
Statistics is also helpful in emergency
preparedness. With the help of
statistics, we can predict any natural
disaster that may happen shortly. It
will help us to get prepared for an
emergency. It also helps the rescue
team to do the preparation to rescue
the life of the people who are in
danger.
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8. 5. Predicting
Disease
Statistics is even playing a role in the
medical field. Statistics help us to
know how many numbers of people
are suffering from the disease. It also
helps us to understand how many
have died from the same disease.
But the best part of statistics is that it
also helps you to find out how much
you affected from the deceased.
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9. 6. Political
Campaigns
Statistics are crucial in a political
campaign. Without statistics, no one
can run a political campaign with
perfection. It helps the politicians to
have an idea about how many
chances they have to win an election
in a particular area.
•Statistics also help the news channel to predict the winner of the election.
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10. 7. Insurance
Insurance is a vast industry. There are
hundreds of insurance i.e. car
insurance, bike, life insurance, and
many more. The premium of
insurance is based on the statistics.
Insurance companies use the
statistics that are collected from
various homeowners, drivers, vehicle
registration office, and many more.
They receive the data from all these
resources and then decide the
premium amount.
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11. 8. Consumer
Goods
Statistics are widely used in consumer
goods products. The reason is
consumer goods are daily used
products. The business use statistics
to calculate which consumer goods
are available in the store or not.
They also used stats to find out which
store needs the consumer goods and
when to ship the products. Even
proper statistics decisions are helping
the business to make massive
revenue on consumer goods.
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12. 9. Financial
Market
The financial market completely relies
on the financial market. All the stock
prices calculate with the help of
statistics. It also helps the investor to
take the decision of investment in the
particular stock.
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13. 10. Sports
There is lots of uses of statistics in
sports. Every sports require statistics
to make the sport more effective.
Statistics help the sport person to get
the idea about his/her performance
in the particular sports.
Nowadays sports are utilizing the
statistics data into the next level. The
reason is a sport is getting more
popular and there are various kinds
of types of equipment in the sports
that are used to collect data of
various factor.
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14. Career Scope of statistics of
Statistics
• Mathematician. Using existing and newly-developed
principles, mathematicians can develop statistical models
to analyze data.
• Market Research Analyst.
• Atmospheric Scientist/Meteorologist.
• Statistician.
• Operations Research Analyst.
• Financial Analyst.
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15. Now you may be aware of the uses of statistics in our
daily life. It is nourishing our everyday life and helping
us to make effective decisions.
If you are a statistics students and you need statistics
assignment help or statistics homework help, then you
can contact our experts for the help.
They will help you out in clear your doubts regarding
statistics. And help you to make the best statistics
assignment.
CONCLUSION
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