Essentials Of Inferential Statistics

Author : Malcolm O. Asadoorian,Demetrius Kantarelis
Publisher : University Press of America
Page : 304 pages
File Size : 46,9 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.

Author : Malcolm O. Asadoorian
Publisher : Unknown
Page : 221 pages
File Size : 53,8 Mb
Release : 2002
Category : Mathematical statistics
ISBN : OCLC:50544608

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Essentials of Inferential Statistics by Malcolm O. Asadoorian Pdf

Author : Newman Chintuwa Enyioko
Publisher : Eliva Press
Page : 286 pages
File Size : 52,9 Mb
Release : 2021-05-10
Category : Electronic
ISBN : 1636481949

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Essentials of Inferential Statistics by Newman Chintuwa Enyioko Pdf

This work is a result of the experience of the authors in teaching and research work for more than 20 years. The wider scope and coverage of the book will help not only the students, researchers and professionals in the field of statistics but also several others in various allied disciplines. All efforts have been made to present the "inferential statistics", its meaning, intention and usefulness. This book reflects current methodological techniques used in interdisciplinary research, as illustrated with many relevant examples. Statistical tools have been presented in such a manner, with the help of real-life examples, that the fear factor about the otherwise complicated subject of statistics will vanish. In its eight chapters, theories followed by examples have been presented to the readers to find most suitable applications. This book is an ideal introduction to statistical learning in an academic context for students at both undergraduate and postgraduate level and will be a must-have for anyone doing a course in statistics. The book covers such topics as: Decision Analysis, Sampling Theory and Survey Methods, Statistical Estimation Theory, Test of Hypotheses, Simple Linear Regression and Correlation Analysis, Analysis of Variance (ANNOVA), Time Series, Index Numbers, Correlations and Partial Correlations, Time Series, and Multiple Regression Analysis.

Author : G. A. Young,R. L. Smith,Richard L. Smith
Publisher : Cambridge University Press
Page : 240 pages
File Size : 41,9 Mb
Release : 2005-07-25
Category : Mathematics
ISBN : 0521839718

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Essentials of Statistical Inference by G. A. Young,R. L. Smith,Richard L. Smith Pdf

Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory.

Author : Michael J. Panik
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 44,5 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.

Author : Pradip Kumar Sahu,Santi Ranjan Pal,Ajit Kumar Das
Publisher : Springer
Page : 317 pages
File Size : 51,5 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.

Author : Hung T. Nguyen,Gerald S. Rogers
Publisher : Springer
Page : 448 pages
File Size : 54,6 Mb
Release : 1989-07-25
Category : Mathematics
ISBN : UOM:39015015706537

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Fundamentals of Mathematical Statistics by Hung T. Nguyen,Gerald S. Rogers Pdf

This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.

Author : Zealure C. Holcomb
Publisher : Routledge
Page : 116 pages
File Size : 45,8 Mb
Release : 1998
Category : Mathematics
ISBN : STANFORD:36105122220937

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Fundamentals of Descriptive Statistics by Zealure C. Holcomb Pdf

Appendix B Computational Formula for the Standard Deviation -- Appendix C Computational Formula for the Pearson r -- Index

Author : John T. Kulas,Renata Garcia Prieto Palacios Roji,Adam M. Smith
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 43,7 Mb
Release : 2021-03-11
Category : Computers
ISBN : 9781119417446

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IBM SPSS Essentials by John T. Kulas,Renata Garcia Prieto Palacios Roji,Adam M. Smith Pdf

Master the fundamentals of SPSS with this newly updated and instructive resource The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data. The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities. SPSS Essentials offers a wide variety of features, including: A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information A companion website offering additional problem sets, complete with answers Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.

Author : Katarzyna Stapor
Publisher : Springer Nature
Page : 163 pages
File Size : 41,9 Mb
Release : 2020-05-22
Category : Mathematics
ISBN : 9783030457990

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Introduction to Probabilistic and Statistical Methods with Examples in R by Katarzyna Stapor Pdf

This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.

Author : Gerald Keller,Brian Warrack
Publisher : Unknown
Page : 128 pages
File Size : 45,8 Mb
Release : 1991
Category : Electronic
ISBN : 0534984479

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Essentials of Business Statistics by Gerald Keller,Brian Warrack Pdf

This text reinforces the use of a simple problem-solving model for recognising which statistical technique to use in a given situation. Each of the inferential statistics chapters ask students to identify the problem objective and the type of data that have been collected in order to understand the assumptions behind using each technique.

Author : Carol E. Osborn
Publisher : Jones & Bartlett Publishers
Page : 305 pages
File Size : 54,5 Mb
Release : 2007-08-24
Category : Business & Economics
ISBN : 9780763765262

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Essentials of Statistics in Health Information Technology by Carol E. Osborn Pdf

From the author of Statistical Applications for Health Information Management, this text provides a solid foundation of the fundamentals of statistics in health information technology in an accessible and reader-friendly format. A single case study is woven throughout the book to serve as an example for each statistical process covered. Attention is given to morbidity and mortality measures, graphical display of data, measurement, central tendency and variability, normal distribution and statistical inference, and inferential statistics. Written specifically for health information technology students who need a basic understanding of the topic, this text is ideal for those with a modest background in mathematics and no prior training in statistics. Features: • Introduces students to how statistical techniques can be used to describe and make inferences from healthcare data. • Includes traditional hospital statistics such as average length of stay and total inpatient service days. • Uses examples in both SPSS and Microsoft Excel.

Author : Sally A. Fincher,Anthony V. Robins
Publisher : Unknown
Page : 924 pages
File Size : 41,5 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.

Author : Anna Leon-Guerrero,Chava Frankfort-Nachmias
Publisher : SAGE Publications
Page : 648 pages
File Size : 45,9 Mb
Release : 2017-11-15
Category : Social Science
ISBN : 9781506390819

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Essentials of Social Statistics for a Diverse Society by Anna Leon-Guerrero,Chava Frankfort-Nachmias Pdf

The authors are proud sponsors of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Essentials of Social Statistics for a Diverse Society, Third Edition, is a more streamlined, less expensive version of the successful Social Statistics for a Diverse Society. As in the parent text, the Essentials version does more than introduce students to the statistical techniques used by social scientists. It is distinct for the use of real data from contemporary social issues, illustrating the interplay between social concerns and methods of inquiry, and for a strong emphasis on race, class, gender, and other statuses to show how statistics can be a tool for understanding the richness of social differences within society. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students. "I think this textbook is incredibly readable. It presents statistics in a manner that is easy to grasp and comprehend but is still rigorous in terms of the content covered." —Amy Lucas, University of Houston–Clear Lake A Complete Teaching & Learning Package SAGE edge FREE online resources for students that make learning easier. See how your students benefit.

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 52,8 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369

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All of Statistics by Larry Wasserman Pdf

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.