Coolidge F.L. Statistics: A Gentle Introduction

4th edition. — Los Angeles: SAGE Publications, 2020. — 1035 p.The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult or dull. This text minimizes students’ anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices.New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself.".Included with this title:
The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint slides.A Gentle Introduction.
Descriptive Statistics: Understanding Distributions of Numbers.
Statistical Parameters: Measures of Central Tendency and Variation.
Standard Scores, the z Distribution, and Hypothesis Testing.
Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the z Distribution.
An Introduction to Correlation and Regression.
The t Test for Independent Groups.
The t Test for Dependent Groups.
Analysis of Variant ANOVA: Multiple Comparison Tests.
Analysis of Variance (ANOVA): One-Factor Repeated-Measures Design.
Factorial ANOVA: Two-Factor Completely Randomized Design.
Post Hoc Analysis of Factorial ANOVA.
Factorial ANOVA: Additional Designs.
Nonparametric Statistics: The Chi-Square Test and Other Nonparametric Tests.
Other Statistical Topics, Parameters, and Tests.
z Distribution.
t Distribution.
Spearman’s Correlation.
Chi-Square (χ2) Distribution.
F Distribution.
Tukey’s Table.
Mann – Whitney U Critical Values.
Wilcoxon Signed-Rank Test Critical Values.
Answers to Odd-Numbered Test Yourself Questions.