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Introductory Statistics for Data Analysis by Warren J. Ewens 9783031281891 3031281896

Name: Introductory Statistics for Data Analysis by Warren J. Ewens 9783031281891 3031281896
SKU: EB-50134596
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Introductory Statistics for Data Analysis Warren J. Ewens Digital Instant Download

Author(s): Warren J. Ewens, Katherine Brumberg

ISBN(s): 9783031281884, 3031281888

Edition: 1st

File Details: PDF, 3.58 MB

Year: 2023

Language: English

SKU: EB-50134596 Category: Mathematics - Mathematical Statistics Tags: Data Analysis, Introductory Statistics, Katherine Brumberg, Warren J. Ewens

Description

Introductory Statistics for Data Analysis Warren J. Ewens – Ebook Instant Download/Delivery ISBN(s): 9783031281884,3031281888, 9783031281891, 3031281896

Product details:

ISBN 10: 3031281896
ISBN 13: 9783031281891
Author: Warren J. Ewens

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.

Table contents:

Part I. Introduction
1. Statistics and Probability Theory
Part II. Probability Theory
2. Events
3. Probabilities of Events
4. Probability: One Discrete Random Variable
5. Many Random Variables
6. Continuous Random Variables
Part 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
11. Chi-Square Tests (i): Tables Bigger Than Two-by-Two
12. Chi-Square Tests (ii): Testing for a Specified Probability Distribution
13. Tests on Means
14. Non-parametric Tests

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