1.Introduction to Statistics - its typesbharath321164
Definition, divisions of statistics, importance, functions, scope, limitations of statistics; collection and classification of data; create and interpret diagrams and graphs; construction of frequency distribution table.
This document provides an overview of statistics presented by five students. It defines statistics as the practice of collecting and analyzing numerical data. Descriptive statistics summarize data through parameters like the mean, while inferential statistics interpret descriptive statistics to draw conclusions. The document discusses examples of statistics, different types of charts and graphs, descriptive versus inferential statistics, and the importance and applications of statistics in fields like business, economics, and social sciences. It also covers topics like sampling methods, characteristics of sampling, probability versus non-probability sampling, and differences between the two.
This document provides an overview of statistical analysis for nursing research. It defines key terms like statistics, data analysis, and population. It outlines the specific objectives of understanding statistical analysis and applying it to nursing research skillfully. It also describes the various types of statistical analysis including descriptive statistics, inferential statistics, parametric and nonparametric tests. Finally, it discusses the steps in statistical analysis, available computer programs, uses of statistical analysis in different fields including nursing, and advantages and disadvantages of statistical analysis.
This document provides information about statistics and data. It discusses that statistics is the science of collecting, organizing, analyzing, and interpreting data. The term statistics originated from Latin and Italian words meaning political state. Originally, statistics was used for administrative needs of states, but now is used more broadly. Statistics can refer to either numerical data (plural sense) or the science of analyzing data (singular sense). The document also discusses definitions of statistics, characteristics of statistics, sources of primary and secondary data, methods of collecting primary data, and limitations of statistics.
This document provides an introduction to statistics. It defines statistics as the science of collecting, organizing, analyzing, and drawing conclusions from data. Data is defined as facts or figures collected for a specific purpose. The document outlines the characteristics of statistics and discusses the functions, scope and limitations of statistics. It also distinguishes between primary and secondary data, discrete and continuous data, and descriptive and inferential statistics.
The document outlines 7 key characteristics of statistics:
1. Statistics are aggregates of facts that can be studied in relation to each other.
2. Statistics are affected by multiple causes rather than single causes due to their focus on social sciences.
3. Statistics are numerically expressed to allow for quantification and comparison.
4. Statistics are enumerated or estimated according to reasonable accuracy standards that may vary depending on the inquiry.
5. Statistics are collected systematically to ensure accurate conclusions can be drawn from the data.
Statistics is defined as the collection, organization, analysis, and interpretation of numerical data. It involves aggregating facts that are affected by many influences and expressing them quantitatively with a reasonable degree of accuracy in a systematic way for a specific purpose, and relating the data to other facts. Statistics is important for understanding economic performance, different sectors of the economy, regional balances, the government's role, and planned development. It also aids in comprehending basic economic principles and research. However, statistics has limitations as it does not consider individual observations, analyze qualitative factors, or ensure generalizations are always true.
This document provides an overview of statistics and its two main branches: descriptive statistics and inferential statistics. Descriptive statistics deals with presenting and collecting data through measures of central tendency and variability. Inferential statistics allows conclusions to be made about populations based on sample data through the use of probability. The document concludes by stating it has provided a better understanding of the branches of statistics and information on how to contact the tutoring service for additional help.
Data refers to raw information collected for research purposes, while statistics are numerical quantities calculated from the data. There are several key stages to statistical analysis: collection, organization, presentation, analysis and interpretation of data. Data can be classified as quantitative or qualitative depending on whether they are expressed numerically. Primary data are collected directly while secondary data are already available from other sources. Proper selection of the statistical unit of analysis is important for research.
Audit and stat for medical professionalsNadir Mehmood
This document discusses clinical audit and statistics. It begins by defining audit and its importance in clinical practice. The document outlines the types of audit and how statistics are used in clinical practice. It discusses the components of a clinical audit and defines key statistical terms like population, sample, and descriptive statistics. The document provides examples to illustrate statistical concepts and calculations like descriptive statistics and the area under the curve of a normal distribution. It emphasizes that the goal of statistics is to summarize data in a way that is understandable for non-statisticians.
This document provides an introduction to statistics, including definitions, characteristics, and methods of data collection. It defines statistics as numerical facts systematically arranged that are useful for making inferences when faced with uncertainty. Statistics deals with analyzing large groups and aggregates of data rather than individuals, and is used to describe populations based on samples. There are two main types: descriptive statistics focuses on summarizing data, while inferential statistics allows estimating larger populations from samples. Primary data is originally collected, while secondary data has already undergone statistical analysis. Methods for collecting primary data include direct investigation, questionnaires, and enumerators, and secondary data comes from official and semi-official sources.
This document provides an overview of key concepts in statistics including descriptive statistics, inferential statistics, data, and data sources. It discusses the definition of statistics, applications of statistics in business, economics, and the state. Descriptive statistics are used to summarize and describe data through graphical representations like histograms and numerical measures like the mean and standard deviation. Inferential statistics are used to make generalizations about a population based on a sample. The document also defines topics like data types, elements, variables, observations, and scales of measurement. Finally, it discusses data acquisition considerations like time requirements and data errors.
This document provides an introduction to biostatistics. It defines statistics as the collection, organization, and analysis of data to draw inferences about a sample population. Biostatistics applies statistical methods to biological and medical data. The document discusses why biostatistics is studied, including that more aspects of medicine and public health are now quantified and biological processes have inherent variation. It also covers types of data, methods of data collection like questionnaires and observation, and considerations for designing questionnaires and conducting interviews.
This document discusses statistics and probability. It defines statistics as a science that studies data to make decisions. It describes the statistical process, which involves planning data collection, collecting and verifying data, summarizing the data, and examining the summaries to support decision making. Key points are that statistics allows questions to be answered through a logical process, and not all questions can be addressed statistically.
Introduction to Data Analysis for Nurse ResearchersRupa Verma
The document provides an overview of data analysis for nursing students. It discusses the importance of statistical training for establishing cause-and-effect relationships and measuring health outcomes. The key steps of data analysis are described, including computing, editing, coding, selecting software, entering, cleaning and classifying data. Both descriptive and inferential statistical methods are covered. Descriptive statistics summarize and describe data through measures like frequency, percentage, mean, median and mode. Inferential statistics allow drawing conclusions about populations from samples using parametric or nonparametric tests. Qualitative data analysis involves coding, identifying themes in the data, and interpreting patterns.
This document provides an introduction and definition of statistics. It discusses statistics in both the plural and singular sense, as numerical data and as a method of study, respectively. It also outlines the basic terminologies in statistics such as data, population, sample, parameters, variables, and scales of measurement. Finally, it discusses the classification and applications of statistics as well as its limitations.
This presentation was intended for employees of Dubai Municipality. It is about how to use SPSS and other statistical data analysis tools like Excel and Minitab in data analysis. The course presented some statistical concepts and definitions.
Statistics is the science of dealing with data about populations and using statistical techniques to make decisions that affect our lives. It is used extensively in fields like marketing, accounting, and healthcare to better understand data and make effective decisions. Studying statistics allows for simple presentation of complex data, expands individual knowledge and experience, facilitates comparison of large data sets, and helps with forecasting by extrapolating present data to predict future changes. Statistics provides a more reliable basis for decision-making than individual perceptions alone.
Statistics is the discipline concerned with collecting, organizing, analyzing, interpreting, and presenting data. Descriptive statistics summarize and describe data through graphs, tables, and numerical measures. Inferential statistics make inferences about populations based on samples through techniques like hypothesis testing and confidence intervals. Statistics is widely applied in business, economics, and other fields to help make data-driven decisions.
This document discusses business statistics and various statistical concepts. It introduces measures of central tendency including the mean, median, and mode. It describes the different types of averages and their characteristics. The document also covers measures of dispersion such as the range, quartile deviation, mean deviation, and standard deviation. Finally, it discusses correlation and the correlation coefficient, describing what correlation represents and the different types of correlation relationships.
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:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: ishikaghosh9@gmail.com
Statistics is defined as the collection, organization, analysis, and interpretation of numerical data. It involves aggregating facts that are affected by many influences and expressing them quantitatively with a reasonable degree of accuracy in a systematic way for a specific purpose, and relating the data to other facts. Statistics is important for understanding economic performance, different sectors of the economy, regional balances, the government's role, and planned development. It also aids in comprehending basic economic principles and research. However, statistics has limitations as it does not consider individual observations, analyze qualitative factors, or ensure generalizations are always true.
This document provides an overview of statistics and its two main branches: descriptive statistics and inferential statistics. Descriptive statistics deals with presenting and collecting data through measures of central tendency and variability. Inferential statistics allows conclusions to be made about populations based on sample data through the use of probability. The document concludes by stating it has provided a better understanding of the branches of statistics and information on how to contact the tutoring service for additional help.
Data refers to raw information collected for research purposes, while statistics are numerical quantities calculated from the data. There are several key stages to statistical analysis: collection, organization, presentation, analysis and interpretation of data. Data can be classified as quantitative or qualitative depending on whether they are expressed numerically. Primary data are collected directly while secondary data are already available from other sources. Proper selection of the statistical unit of analysis is important for research.
Audit and stat for medical professionalsNadir Mehmood
This document discusses clinical audit and statistics. It begins by defining audit and its importance in clinical practice. The document outlines the types of audit and how statistics are used in clinical practice. It discusses the components of a clinical audit and defines key statistical terms like population, sample, and descriptive statistics. The document provides examples to illustrate statistical concepts and calculations like descriptive statistics and the area under the curve of a normal distribution. It emphasizes that the goal of statistics is to summarize data in a way that is understandable for non-statisticians.
This document provides an introduction to statistics, including definitions, characteristics, and methods of data collection. It defines statistics as numerical facts systematically arranged that are useful for making inferences when faced with uncertainty. Statistics deals with analyzing large groups and aggregates of data rather than individuals, and is used to describe populations based on samples. There are two main types: descriptive statistics focuses on summarizing data, while inferential statistics allows estimating larger populations from samples. Primary data is originally collected, while secondary data has already undergone statistical analysis. Methods for collecting primary data include direct investigation, questionnaires, and enumerators, and secondary data comes from official and semi-official sources.
This document provides an overview of key concepts in statistics including descriptive statistics, inferential statistics, data, and data sources. It discusses the definition of statistics, applications of statistics in business, economics, and the state. Descriptive statistics are used to summarize and describe data through graphical representations like histograms and numerical measures like the mean and standard deviation. Inferential statistics are used to make generalizations about a population based on a sample. The document also defines topics like data types, elements, variables, observations, and scales of measurement. Finally, it discusses data acquisition considerations like time requirements and data errors.
This document provides an introduction to biostatistics. It defines statistics as the collection, organization, and analysis of data to draw inferences about a sample population. Biostatistics applies statistical methods to biological and medical data. The document discusses why biostatistics is studied, including that more aspects of medicine and public health are now quantified and biological processes have inherent variation. It also covers types of data, methods of data collection like questionnaires and observation, and considerations for designing questionnaires and conducting interviews.
This document discusses statistics and probability. It defines statistics as a science that studies data to make decisions. It describes the statistical process, which involves planning data collection, collecting and verifying data, summarizing the data, and examining the summaries to support decision making. Key points are that statistics allows questions to be answered through a logical process, and not all questions can be addressed statistically.
Introduction to Data Analysis for Nurse ResearchersRupa Verma
The document provides an overview of data analysis for nursing students. It discusses the importance of statistical training for establishing cause-and-effect relationships and measuring health outcomes. The key steps of data analysis are described, including computing, editing, coding, selecting software, entering, cleaning and classifying data. Both descriptive and inferential statistical methods are covered. Descriptive statistics summarize and describe data through measures like frequency, percentage, mean, median and mode. Inferential statistics allow drawing conclusions about populations from samples using parametric or nonparametric tests. Qualitative data analysis involves coding, identifying themes in the data, and interpreting patterns.
This document provides an introduction and definition of statistics. It discusses statistics in both the plural and singular sense, as numerical data and as a method of study, respectively. It also outlines the basic terminologies in statistics such as data, population, sample, parameters, variables, and scales of measurement. Finally, it discusses the classification and applications of statistics as well as its limitations.
This presentation was intended for employees of Dubai Municipality. It is about how to use SPSS and other statistical data analysis tools like Excel and Minitab in data analysis. The course presented some statistical concepts and definitions.
Statistics is the science of dealing with data about populations and using statistical techniques to make decisions that affect our lives. It is used extensively in fields like marketing, accounting, and healthcare to better understand data and make effective decisions. Studying statistics allows for simple presentation of complex data, expands individual knowledge and experience, facilitates comparison of large data sets, and helps with forecasting by extrapolating present data to predict future changes. Statistics provides a more reliable basis for decision-making than individual perceptions alone.
Statistics is the discipline concerned with collecting, organizing, analyzing, interpreting, and presenting data. Descriptive statistics summarize and describe data through graphs, tables, and numerical measures. Inferential statistics make inferences about populations based on samples through techniques like hypothesis testing and confidence intervals. Statistics is widely applied in business, economics, and other fields to help make data-driven decisions.
This document discusses business statistics and various statistical concepts. It introduces measures of central tendency including the mean, median, and mode. It describes the different types of averages and their characteristics. The document also covers measures of dispersion such as the range, quartile deviation, mean deviation, and standard deviation. Finally, it discusses correlation and the correlation coefficient, describing what correlation represents and the different types of correlation relationships.
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:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: ishikaghosh9@gmail.com
How to Configure Scheduled Actions in odoo 18Celine George
Scheduled actions in Odoo 18 automate tasks by running specific operations at set intervals. These background processes help streamline workflows, such as updating data, sending reminders, or performing routine tasks, ensuring smooth and efficient system operations.
Form View Attributes in Odoo 18 - Odoo SlidesCeline George
Odoo is a versatile and powerful open-source business management software, allows users to customize their interfaces for an enhanced user experience. A key element of this customization is the utilization of Form View attributes.
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.
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 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.
Ajanta Paintings: Study as a Source of 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.
How to Add Customer Note in Odoo 18 POS - Odoo SlidesCeline George
In this slide, we’ll discuss on how to add customer note in Odoo 18 POS module. Customer Notes in Odoo 18 POS allow you to add specific instructions or information related to individual order lines or the entire order.
What makes space feel generous, and how architecture address this generosity in terms of atmosphere, metrics, and the implications of its scale? This edition of #Untagged explores these and other questions in its presentation of the 2024 edition of the Master in Collective Housing. The Master of Architecture in Collective Housing, MCH, is a postgraduate full-time international professional program of advanced architecture design in collective housing presented by Universidad Politécnica of Madrid (UPM) and Swiss Federal Institute of Technology (ETH).
Yearbook MCH 2024. Master in Advanced Studies in Collective Housing UPM - ETH
How to Manage Purchase Alternatives in Odoo 18Celine George
Managing purchase alternatives is crucial for ensuring a smooth and cost-effective procurement process. Odoo 18 provides robust tools to handle alternative vendors and products, enabling businesses to maintain flexibility and mitigate supply chain disruptions.
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulsesushreesangita003
what is pulse ?
Purpose
physiology and Regulation of pulse
Characteristics of pulse
factors affecting pulse
Sites of pulse
Alteration of pulse
for BSC Nursing 1st semester
for Gnm Nursing 1st year
Students .
vitalsign
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulsesushreesangita003
Ad
11th ISC PART B ECONOMICS STATISTICS.pptx
1. STATISTICS IN SINGULAR SENSE
• “Statistics may be defined as the collection,
presentation, analysis, and interpretation of
numerical data.” —Croxton and Cowden.
3. IMPORTANCE OF STATISTICS IN ECONOMICS
• Statistics helps to present economic problems and economic
facts quantitatively.
• Statistics can be used for inter sectoral and inter temporal
comparisons.
• The finance Minister uses data to take major policy decisions.
• It helps an economist to understand an economic problem.
Proper understanding of the problem is needed to make
policies to solve it.
• It helps to find the relationship between various economic
factors. For example: By analysing data, we can understand
the relationship between price and quantity demanded.
• It helps to make economic forecasting.
• It helps to construct and verify the theories of Economics.
4. LIMITATIONS OF STATISTICS
• Statistics deals only with quantitative facts. It does
not deal with qualitative facts.
• It deals with only aggregate of facts. It does not deal
with individual numerical facts.
• Statistical results are true only on averages.
• Statistics deals with only homogeneous data.
• Statistical facts can be misused.
• Statistical methods can be used only by experts.
5. COLLECTION OF DATA
• DATA: Numerical facts from which meaningful
conclusions can be drawn
DATA
PRIMARY DATA SECONDARY DATA
6. Primary Data: The data collected for the first time by
an investigator for a specific purpose.
Example: Census of India.
Secondary Data: Secondary data is the data that have
been already collected by sources other than the
investigator.
Examples: Census, Reports of NSSO
7. PRIMARY DATA SECONDARY DATA
It is original data It is already existing data
It is collected by the
investigator by himself
It is collected by someone else
for some other purpose.
It is expensive It is less expensive
It is time consuming It is less time consuming
It is more accurate It is less accurate
9. CENSUS METHOD SAMPLE METHOD
Data are collected from the
entire population
Data are collected from a
selected sample
It is a time consuming method It is a time saving method
It is reliable and accurate Accuracy and reliability are
less
It is difficult to identify errors Errors can be easily identified
It is expensive It is less expensive
10. QUESTIONNAIRE
Questionnaire refers to a set of questions
prepared by the investigator in order to collect the
information needed for statistical investigation.
12. QUALITIES OF A GOOD QUESTIONNAIRE
• The questionnaire should not be very long. Number
of questions should be limited.
• Questions should be simple and easy to understand.
• Questions should be in a proper order.
• Clear instructions should be given as introduction.
• Personal questions and controversial questions
should be avoided.
• Questions that involve mathematical calculations
should be avoided.
13. METHODS OF COLLECTING PRIMARY DATA
• Direct Personal Interview Method.
• Indirect Oral Investigation Method.
• Mailed Questionnaire Method.
• Telephone Interview Method.
• Information from local sources or correspondents.
14. SOURCES OF SECONDARY DATA
PUBLISHED SOURCES UNPUBLISHED SOURCES
Government
Publications
Semi Government Data collected for
Publications self use by the
Reports of Committees Government and
and Commissions Private agencies
Journals and News Papers
Publications of research
Institutes
International Publications