图书简介

Preface \\ Acknowledgments \\ About the Authors \\ Part 1: Descriptive Statistics and Sampling Error \\ Chapter 1: Introduction to Statistics and Frequency Distributions \\ How to Be Successful in This Course \\ Math Skills Required in This Course \\ Statistical Software Options \\ Why Do You Have to Take Statistics? \\ The Four Pillars of Scientific Reasoning \\ Populations and Samples \\ Independent and Dependent Variables \\ Identify How a Variable Is Measured \\ Graphing Data \\ Shapes of Distributions \\ Frequency Distribution Tables \\ Chapter 2: Central Tendency and Variability \\ Frequency Distribution Graphs and Tables \\ Central Tendency: Choosing Mean, Median, or Mode \\ Computing Measures of Central Tendency \\ Variability: Range or Standard Deviation \\ Steps in Computing a Population’s Standard Deviation \\ Steps in Computing a Sample’s Standard Deviation \\ Constructing a Scientific Conclusion \\ Chapter 3: z scores \\ Computing and Interpreting z for a Raw Score \\ Finding Raw Score “Cut Lines” \\ Finding the Probability of z Scores Using the Standard Normal Curve \\ Positive z Score Example \\ Negative z Score Example \\ Proportion Between Two z Scores Example \\ Chapter 4: Sampling Error and Confidence Intervals with z and t Distributions \\ Sampling and Sampling Error \\ The Central Limit Theorem and the Standard Error of the Mean (SEM) \\ Applying the SEM to Find Statistical Evidence \\ Part 2: Applying the Four Pillars of Scientific Reasoning to Mean Differences \\ Chapter 5: Single sample t, effect sizes, and confidence intervals \\ Four Pillars of Scientific Reasoning \\ Apply the Four Pillars of Scientific Reasoning \\ Construct a Well-Supported Scientific Conclusion \\ Chapter 6: Related samples t, effect sizes, and confidence intervals \\ Related Samples t Test \\ Logic of the Single Sample and Related Samples t Tests \\ Apply the Four Pillars of Scientific Reasoning \\ Construct a Well-Supported Scientific Conclusion \\ Chapter 7: Independent samples t, effect sizes, and confidence intervals \\ When to Use the Three t Tests \\ The t Test Logic and the Independent Samples t Formula \\ Apply the Four Pillars of Scientific Reasoning \\ Construct a Well-Supported Scientific Conclusion \\ How to Interpret High p Values \\ Chapter 8: One-way ANOVA, effect sizes, and confidence intervals \\ Independent Samples One-Way ANOVA \\ Logic of the ANOVA \\ Apply Four Pillars of Scientific Reasoning \\ Chapter 9: Two-way ANOVA, effect sizes, and confidence intervals \\ Purpose of Two-Way ANOVA \\ Logic of Two-Way ANOVA \\ Apply Four Pillars of Scientific Reasoning \\ Part 3: Applying the Four Pillars of Scientific Reasoning to Associations \\ Chapter 10: Correlations, effect sizes, and confidence intervals \\ When to Use Correlations \\ The Logic of Correlation \\ Interpreting Correlation Coefficients \\ Spearman’s (rs) Correlation \\ Correlation Does Not Equal Causation: True but Misleading \\ Apply the Four Pillars of Scientific Reasoning \\ Construct a Well-Supported Scientific Conclusion \\ Chapter 11: Chi square and effect sizes \\ When to Use X2 Statistics \\ Logic of the X2 Test \\ Apply the Pillars of Scientific Reasoning \\ Construct a Well-Supported Scientific Conclusion \\ Apply the Pillars of Scientific Reasoning: X2 for Independence \\ Appendices \\ References \\ Index

Trade Policy 买家须知