Fundamentals of Applied Statistics by Gupta and Kapoor PDF: An Overview of the Topics and Features
Fundamentals of Applied Statistics by Gupta and Kapoor PDF Free 13
If you are looking for a comprehensive and accessible textbook on applied statistics, you might want to check out Fundamentals of Applied Statistics by S.C. Gupta and V.K. Kapoor. This book covers a wide range of topics in statistical methods and techniques, with examples and exercises from various fields of study. In this article, we will give you an overview of the book, its main features, benefits, and how to download it for free.
fundamentals of applied statistics by gupta and kapoor pdf free 13
Introduction
What is applied statistics?
Applied statistics is the branch of statistics that deals with the application of statistical methods and principles to real-world problems and data. Applied statistics involves collecting, organizing, analyzing, interpreting, and presenting data in a meaningful way, using appropriate tools and techniques. Applied statistics can be used for various purposes, such as:
Describing and summarizing data
Testing hypotheses and making inferences
Estimating parameters and predicting outcomes
Comparing groups and measuring associations
Controlling quality and improving processes
Designing experiments and surveys
Evaluating policies and programs
Applied statistics can be applied to various fields of study, such as:
Natural sciences (e.g., biology, chemistry, physics)
Social sciences (e.g., economics, psychology, sociology)
Engineering (e.g., civil, mechanical, electrical)
Business (e.g., management, marketing, accounting)
Medicine (e.g., epidemiology, public health, clinical trials)
Education (e.g., curriculum development, assessment, evaluation)
Who are Gupta and Kapoor?
S.C. Gupta and V.K. Kapoor are two eminent Indian statisticians who have authored several books on statistics. S.C. Gupta is a retired senior reader from Hindu College, University of Delhi. V.K. Kapoor is a retired senior reader from Shri Ram College of Commerce, University of Delhi. They have both taught statistics at undergraduate and postgraduate levels for many years. They have also contributed to various journals and conferences on statistics.
What is the book about?
Fundamentals of Applied Statistics is a textbook written by Gupta and Kapoor for undergraduate and postgraduate students of statistics, management, engineering, commerce, economics, and other disciplines that require statistical knowledge and skills. The book was first published in 1994 by Sultan Chand & Sons Educational Publishers. The book has four editions so far, with the latest one being published in 2013. The book has 616 pages and 9 chapters, covering the following topics:
Statistical quality control
Analysis of time series
Index numbers
Demand analysis
Analysis of variance
Design of experiments
Design of sample surveys
Statistics in psychology and education
Vital statistics
The book is written in a clear and concise manner, with ample examples and exercises to illustrate the concepts and methods. The book also provides tables, charts, graphs, and formulas to facilitate the calculations and interpretations. The book is suitable for both self-study and classroom teaching.
Main features of the book
Statistical quality control
Statistical quality control (SQC) is the application of statistical methods and techniques to monitor and improve the quality of products and processes. SQC involves measuring, analyzing, and controlling the variation in the characteristics of the products and processes, using tools such as control charts, acceptance sampling plans, and process capability analysis. SQC helps to reduce defects, waste, and costs, and to increase customer satisfaction and profitability.
The book covers the following topics in SQC:
Basis and benefits of SQC
Process control and product control
Control limits, specification limits, and tolerance limits
Control charts for variables (X, R, S) and attributes (p, np, c, u)
Tools for SQC (histograms, Pareto charts, cause-and-effect diagrams, etc.)
Natural tolerance limits and specification limits
Acceptance sampling inspection plans for attributes (single, double, sequential)
Analysis of time series
A time series is a set of observations or measurements taken at regular or irregular intervals of time. Analysis of time series is the process of studying the patterns and trends in the data over time, using statistical methods and techniques. Analysis of time series helps to understand the past behavior and future prospects of a phenomenon or a variable of interest.
The book covers the following topics in analysis of time series:
Components of a time series (trend, seasonal, cyclical, irregular)
Measurement of trend (graphic method, semi-averages method, moving averages method, least squares method)
Growth curves and their fitting (linear, exponential, logistic)
Measurement of seasonal variations (simple averages method, ratio-to-moving averages method, ratio-to-trend method)
Measurement of cyclical variations (residual method)
Forecasting methods (extrapolation, smoothing techniques)
Index numbers
An index number is a statistical measure that expresses the relative change in the value or level of a variable or a group of variables over time or space. Index numbers are used to compare the economic, social, or physical conditions of different periods or places. Index numbers help to measure inflation, deflation, productivity, living standards, etc.
The book covers the following topics in index numbers:
Purpose and types of index numbers (price index numbers, quantity index numbers)
Methods of constructing index numbers (simple aggregative method, simple average of relatives method)
Tests for index numbers (unit test, time reversal test, factor reversal test)
Weighted index numbers (Laspeyres' method, Paasche's method, Fisher's ideal method)
Consumer price index numbers (base year method, chain base method)
Cost of living index numbers (family budget method)
Demand analysis
Demand analysis is the study of the factors that influence the demand for a product or a service in a market. Demand analysis helps to estimate the quantity demanded at different prices and incomes, to measure the elasticity of demand with respect to price and income, to forecast the future demand based on past data and trends.
The book covers the following topics in demand analysis:
Demand function and demand curve
Laws of demand and supply
Elasticity of demand (price elasticity, income elasticity, cross elasticity)
Demand forecasting methods (survey methods, trend projection methods)
Analysis of variance
Analysis of variance (ANOVA) is a statistical technique that tests whether there are significant differences among the means of two or more groups or populations. ANOVA helps to compare the in DOE:
Basic principles of experimental design (randomization, replication, blocking)
Types of experimental designs (completely randomized design, randomized block design, Latin square design, factorial design, fractional factorial design)
Analysis of experimental data (ANOVA table, F-test, main effects and interaction plots)
Optimization techniques (response surface methodology, steepest ascent method, central composite design)
Design of sample surveys
A sample survey is a method of collecting information from a subset or a sample of a population, rather than from the entire population. Design of sample surveys involves selecting the sample size and the sampling technique, designing the questionnaire or the instrument of data collection, conducting the survey and collecting the data, and estimating and reporting the results. Design of sample surveys helps to obtain reliable and valid information about the population characteristics with minimum cost and error.
The book covers the following topics in design of sample surveys:
Sampling methods (simple random sampling, stratified random sampling, systematic sampling, cluster sampling, multistage sampling)
Sampling errors (sampling error, nonsampling error, standard error)
Sampling distributions (binomial distribution, normal distribution, t-distribution)
Estimation of population parameters (mean, proportion, variance)
Determination of sample size
Questionnaire design and data collection
Statistics in psychology and education
Statistics in psychology and education is the application of statistical methods and techniques to study the behavior and learning outcomes of individuals and groups. Statistics in psychology and education helps to measure and describe psychological and educational phenomena, to test hypotheses and theories, to evaluate programs and interventions, and to improve teaching and learning practices.
The book covers the following topics in statistics in psychology and education:
Measurement scales (nominal, ordinal, interval, ratio)
Reliability and validity of measurements (test-retest reliability, inter-rater reliability, internal consistency reliability, content validity, criterion validity, construct validity)
Correlation and regression analysis (Pearson's correlation coefficient, Spearman's rank correlation coefficient, simple linear regression)
Nonparametric tests (sign test, Wilcoxon signed-rank test, Mann-Whitney U test, Kruskal-Wallis test)
Chi-square test of independence and goodness of fit
t-test for one sample, two independent samples, and paired samples
Analysis of covariance (ANCOVA)
Multivariate analysis of variance (MANOVA)
Vital statistics
Vital statistics are the statistical data on the vital events of a population, such as births, deaths, marriages, divorces, and migrations. Vital statistics help to measure and monitor the demographic, health, and social conditions of a population.
The book covers the following topics in vital statistics:
Sources and methods of collecting vital statistics (civil registration, census, sample survey)
Measures of fertility (crude birth rate, general fertility rate, age-specific fertility rate, total fertility rate)
Measures of mortality (crude death rate, infant mortality rate, age-specific mortality rate, life table)
Measures of morbidity (incidence rate, prevalence rate, case fatality rate)
Measures of marriage and divorce (crude marriage rate, crude divorce rate, singulate mean age at marriage)
Measures of migration (net migration rate, gross migration rate, migration effectiveness ratio)
Population growth and projection (natural increase rate, exponential growth rate, logistic growth model)
Benefits of reading the book
For students
If you are a student of statistics or any other discipline that requires statistical knowledge and skills, reading this book will help you to:
Learn the fundamental concepts and methods of applied statistics in a clear and concise way
Understand the practical applications and relevance of statistics in various fields of study
Develop your analytical and problem-solving abilities by working on the examples and exercises provided in the book
Prepare for your exams and assignments by reviewing the key points and formulas given in the book
For researchers
If you are a researcher who conducts experiments or surveys to collect and analyze data, reading this book will help you to:
Design your experiments or surveys in a systematic and optimal way
Select the appropriate statistical techniques to test your hypotheses and answer your research questions
Analyze your data using various software tools such as Excel, SPSS, R, etc.
Interpret and report your results in a meaningful and accurate way
Critically evaluate the validity and reliability of your findings
For professionals
If you are a professional who works with data in any industry or sector , reading this book will help you to:
Improve your data literacy and statistical competence
Enhance your decision-making and problem-solving skills based on data and evidence
Monitor and improve the quality and performance of your products and processes
Communicate and present your data and results effectively to your stakeholders
Keep up with the latest trends and developments in applied statistics
How to download the book for free?
Legal and ethical issues
Before you download the book for free, you should be aware of the legal and ethical issues involved. The book is protected by copyright laws, which means that you cannot copy, distribute, or use it without the permission of the authors or the publishers. Downloading the book for free from unauthorized sources may violate these laws and expose you to legal consequences.
Moreover, downloading the book for free may also be unethical, as it deprives the authors and the publishers of their rightful income and recognition. The authors and the publishers have invested a lot of time, effort, and money to produce the book, and they deserve to be compensated for their work. Downloading the book for free may also affect the quality and availability of future editions of the book.
Therefore, we recommend that you purchase the book from a legitimate source, such as a bookstore or an online platform. This way, you can support the authors and the publishers, as well as enjoy the benefits of reading a high-quality and updated version of the book.
Sources and links
If you still want to download the book for free, you may find some sources and links on the internet that claim to offer it. However, we cannot guarantee the authenticity, legality, or safety of these sources and links. Some of them may be fake, illegal, or infected with malware. You should exercise caution and discretion when accessing these sources and links.
Here are some examples of sources and links that we found on Google:
- Fundamentals of Applied Statistics - S. C. Gupta, V. K. Kapoor - Google Books https://books.google.com/books/about/Fundamentals_of_Applied_Statistics.html?id=4wm8YgEACAAJ - Applied Statistics Gupta - Kapoor PDF - Scribd https://www.scribd.com/document/607451566/Applied-Statistics-Gupta-Kapoor - FUNDAMENTAL OF MATHEMATICAL STATISTICS-S C GUPTA & V K KAPOOR.pdf - Google Drive https://docs.google.com/file/d/0B6mmcxyrKnEhRnR6V2dpcVNMdGM/edit
Please note that we do not endorse or recommend any of these sources or links. Use them at your own risk.
Conclusion
In conclusion, Fundamentals of Applied Statistics by Gupta and Kapoor is a comprehensive and accessible textbook on applied statistics that covers a wide range of topics in statistical methods and techniques. The book is suitable for students, researchers, and professionals who want to learn and apply statistics in various fields of study. The book is available for purchase from various sources, but downloading it for free may involve legal and ethical issues.
FAQs
What is applied statistics?
Applied statistics is the branch of statistics that deals with the application of statistical methods and principles to real-world problems and data.
Who are Gupta and Kapoor?
Gupta and Kapoor are two eminent Indian statisticians who have authored several books on statistics.
What is Fundamentals of Applied Statistics?
Fundamentals of Applied Statistics is a textbook written by Gupta and Kapoor for undergraduate and postgraduate students of statistics and other disciplines that require statistical knowledge and skills.
What are the main features of the book?
The book covers 9 chapters on various topics in applied statistics, such as statistical quality control, analysis of time series, index numbers, demand analysis, analysis of variance, design of experiments, design of sample surveys, statistics in psychology and education, and vital statistics.
How to download the book for free?
Downloading the book for free may involve legal and ethical issues, as it may violate the copyright laws and deprive the authors and the publishers of their income and recognition. However, some sources and links on the internet may claim to offer the book for free. You should exercise caution and discretion when accessing these sources and links.
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