Understanding Inferential Statistics

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Understanding Inferential Statistics

Markus Janczyk,Roland Pfister
Understanding Inferential Statistics Book PDF

Author : Markus Janczyk,Roland Pfister
Publisher : Springer Nature
Page : 211 pages
File Size : 40,5 Mb
Release : 2023-11-25
Category : Medical
ISBN : 9783662667866

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Understanding Inferential Statistics by Markus Janczyk,Roland Pfister Pdf

What does this p-value actually mean? And what is a significant result? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and hypothesis testing: Readers learn the most commonly used procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) as well as the pitfalls of data analysis, and develop the understanding necessary to interpret results correctly. The individual chapters are supplemented by concrete evaluation examples from everyday research - including exemplary implementation with the programs SPSS and R. In addition to the classic methods, cross-references to current developments in psychological methodological research are also included.This book is a translation of the original German 3rd edition of Inferenzstatistik verstehen by Markus Janczyk and Roland Pfister. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Understanding and Evaluating Research

Sue L. T. McGregor
Understanding and Evaluating Research Book PDF

Author : Sue L. T. McGregor
Publisher : SAGE Publications
Page : 871 pages
File Size : 44,5 Mb
Release : 2017-10-25
Category : Social Science
ISBN : 9781506350974

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Understanding and Evaluating Research by Sue L. T. McGregor Pdf

Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.

The Cambridge Handbook of Computing Education Research

Sally A. Fincher,Anthony V. Robins
The Cambridge Handbook of Computing Education Research Book PDF

Author : Sally A. Fincher,Anthony V. Robins
Publisher : Unknown
Page : 924 pages
File Size : 50,8 Mb
Release : 2019-02-13
Category : Computers
ISBN : 9781108756211

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The Cambridge Handbook of Computing Education Research by Sally A. Fincher,Anthony V. Robins Pdf

This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.

Understanding Statistical Analysis and Modeling

Robert Bruhl
Understanding Statistical Analysis and Modeling Book PDF

Author : Robert Bruhl
Publisher : SAGE Publications
Page : 320 pages
File Size : 51,5 Mb
Release : 2017-11-15
Category : Social Science
ISBN : 9781506317373

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Understanding Statistical Analysis and Modeling by Robert Bruhl Pdf

Understanding Statistical Analysis and Modeling is a text for graduate and advanced undergraduate students in the social, behavioral, or managerial sciences seeking to understand the logic of statistical analysis. Robert Bruhl covers all the basic methods of descriptive and inferential statistics in an accessible manner by way of asking and answering research questions. Concepts are discussed in the context of a specific research project and the book includes probability theory as the basis for understanding statistical inference. Instructions on using SPSS® are included so that readers focus on interpreting statistical analysis rather than calculations. Tables are used, rather than formulas, to describe the various calculations involved with statistical analysis and the exercises in the book are intended to encourage students to formulate and execute their own empirical investigations.

Statistics in a Nutshell

Sarah Boslaugh
Statistics in a Nutshell Book PDF

Author : Sarah Boslaugh
Publisher : "O'Reilly Media, Inc."
Page : 595 pages
File Size : 51,6 Mb
Release : 2012-11-15
Category : Computers
ISBN : 9781449316822

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Statistics in a Nutshell by Sarah Boslaugh Pdf

A clear and concise introduction and reference for anyone new to the subject of statistics.

Estimation and Inferential Statistics

Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das
Estimation and Inferential Statistics Book PDF

Author : Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das
Publisher : Springer
Page : 317 pages
File Size : 41,7 Mb
Release : 2015-11-03
Category : Mathematics
ISBN : 9788132225140

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Estimation and Inferential Statistics by Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das Pdf

This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current methodological techniques used in statistics and related interdisciplinary areas. Every concept is supported with relevant research examples to help readers to find the most suitable application. Statistical tools have been presented by using real-life examples, removing the “fear factor” usually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form.

Essentials of Inferential Statistics

Malcolm O. Asadoorian,Demetrius Kantarelis
Essentials of Inferential Statistics Book PDF

Author : Malcolm O. Asadoorian,Demetrius Kantarelis
Publisher : University Press of America
Page : 304 pages
File Size : 42,8 Mb
Release : 2005
Category : Business & Economics
ISBN : 0761830308

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Essentials of Inferential Statistics by Malcolm O. Asadoorian,Demetrius Kantarelis Pdf

Essentials of Inferential Statistics, fourth edition is appropriate for a one semester first course in Applied Statistics or as a reference book for practicing researchers in a wide variety of disciplines, including medicine, natural and social sciences, law, and engineering. Most importantly, this practical book thoroughly describes the Bayesian principles necessary for applied clinical research and strategic interaction, which are frequently omitted in other texts. After a comprehensive treatment of probability theory concepts, theorems, and some basic proofs, this laconically written text illustrates sampling distributions and their importance in estimation for the purpose of statistical inference. The book then shifts its focus to the essentials associated with confidence intervals, and hypothesis testing for major population parameters, namely, the population mean, population variance, and population proportion. In addition, it thoroughly describes the basics of correlation and simple linear regression as well as non-parametric statistics.

Descriptive and Inferential Statistics - Summaries of theory and Exercises solved

Mercedes Orœs Lacort
Descriptive and Inferential Statistics Summaries of theory and Exercises solved Book PDF

Author : Mercedes Orœs Lacort
Publisher : Lulu.com
Page : 187 pages
File Size : 42,7 Mb
Release : 2014-05-22
Category : Technology & Engineering
ISBN : 9781291885385

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Descriptive and Inferential Statistics - Summaries of theory and Exercises solved by Mercedes Orœs Lacort Pdf

Descriptive and Inferential Statistics, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Descriptive Statistics, Confidence Intervals and Test Hypothesis for means, proportions and variances for one sample, Chi Square Test, Test Hypothesis for means, proportions and variances, for two or more samples, and Regression line. Statistical software such as SPSS, Minitab, programs have been used in the resolution of problems and in some cases have been resolved by using the Excel and also manually.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Chester Ismay,Albert Y. Kim
Statistical Inference via Data Science A ModernDive into R and the Tidyverse Book PDF

Author : Chester Ismay,Albert Y. Kim
Publisher : CRC Press
Page : 461 pages
File Size : 45,7 Mb
Release : 2019-12-23
Category : Mathematics
ISBN : 9781000763461

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay,Albert Y. Kim Pdf

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Statistical Inference

Michael J. Panik
Statistical Inference Book PDF

Author : Michael J. Panik
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 51,5 Mb
Release : 2012-06-06
Category : Mathematics
ISBN : 9781118309803

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Statistical Inference by Michael J. Panik Pdf

A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including: How do we determine that a given dataset is actually a random sample? With what level of precision and reliability can a population sample be estimated? How are probabilities determined and are they the same thing as odds? How can we predict the level of one variable from that of another? What is the strength of the relationship between two variables? The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material. Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.

Interpreting and Using Statistics in Psychological Research

Andrew N. Christopher
Interpreting and Using Statistics in Psychological Research Book PDF

Author : Andrew N. Christopher
Publisher : SAGE Publications
Page : 585 pages
File Size : 51,8 Mb
Release : 2016-08-30
Category : Psychology
ISBN : 9781506304151

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Interpreting and Using Statistics in Psychological Research by Andrew N. Christopher Pdf

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Statistical Inference as Severe Testing

Deborah G. Mayo
Statistical Inference as Severe Testing Book PDF

Author : Deborah G. Mayo
Publisher : Cambridge University Press
Page : 503 pages
File Size : 46,6 Mb
Release : 2018-09-20
Category : Mathematics
ISBN : 9781107054134

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Statistical Inference as Severe Testing by Deborah G. Mayo Pdf

Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

Cartoon Guide to Statistics

Larry Gonick
Cartoon Guide to Statistics Book PDF

Author : Larry Gonick
Publisher : Harper Collins
Page : 242 pages
File Size : 55,7 Mb
Release : 1993-07-14
Category : Study Aids
ISBN : 9780062731029

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Cartoon Guide to Statistics by Larry Gonick Pdf

If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more—all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!

Introductory Statistical Inference

Nitis Mukhopadhyay
Introductory Statistical Inference Book PDF

Author : Nitis Mukhopadhyay
Publisher : CRC Press
Page : 289 pages
File Size : 50,9 Mb
Release : 2006-02-07
Category : Mathematics
ISBN : 9781420017403

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Introductory Statistical Inference by Nitis Mukhopadhyay Pdf

Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels.

Statistical Inference

George Casella,Roger Berger
Statistical Inference Book PDF

Author : George Casella,Roger Berger
Publisher : CRC Press
Page : 1746 pages
File Size : 41,8 Mb
Release : 2024-05-23
Category : Mathematics
ISBN : 9781040024027

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Statistical Inference by George Casella,Roger Berger Pdf

This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.