Introductory statistics for data analysis / Warren J. Ewens, Katherine Brumberg.
Ewens, Warren J. author.; Brumberg, Katherine, author.
2023
QA276
Available Online

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Title Introductory statistics for data analysis / Warren J. Ewens, Katherine Brumberg.
Author Ewens, Warren J. author.
ISBN 9783031281891 (electronic bk.)
3031281896 (electronic bk.)
9783031281884
3031281888
DOI https://doi.org/10.1007/978-3-031-28189-1
Published Cham : Springer, 2023.
Language English
Description 1 online resource (x, 273 pages) : illustrations
Item Number 10.1007/978-3-031-28189-1 doi
Call Number QA276
Dewey Decimal Classification 519.5
Summary This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 18, 2023).
Added Author Brumberg, Katherine, author.
Available in Other Form Print version: 9783031281884
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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I INTRODUCTION
1 Statistics and probability theory
II PROBABILITY THEORY
2 Events
3 Probabilities of events
4 Probability: One Discrete Random Variable
5 Many Random Variables
6 Continuous Random Variables
III STATISTICS
7 Introduction
8 Estimation of a parameter
9 Testing hypotheses about the value of a parameter
10 Testing for the equality of two binomial parameters
10 Testing for the equality of two binomial parameters
11 Chi-square tests (i): tables bigger than two-by-two
13 Tests on means
14 Non-parametric tests
Useful charts
Solutions to problems.

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