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Statistics for Research and Life 1st Edition By Gary Lewandowski., Kevin McIntyre

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Statistics for Research and Life (1st Edition) by Gary Lewandowski Jr. and Kevin P. McIntyre covers foundational descriptive statistics, core inferential hypothesis testing, and advanced parametric and non-parametric analyses. [1, 2]

Table of Contents:

Chapter 1: Why Statistics Are So Important Chapter 2: Frequency Distributions and Visual Displays of Data Chapter 3: Measures of Central Tendency & Variability Chapter 4: Z-Scores and the Normal Curve Chapter 5: Probability and the Distribution of Sample Means Chapter 6: Introduction to Hypothesis Testing Chapter 7: Hypothesis Testing with a Distribution of Sample Means Chapter 8: Statistical Significance, Confidence Intervals, Effect Size, and Power Chapter 9: Introduction to t-Tests: The Single Sample t-Test and t-Test for Dependent Means Chapter 10: t-Test for Two Independent/Unrelated Samples Chapter 11: One-Way Analysis of Variance (ANOVA) Chapter 12: Repeated-Measures Analysis of Variance ( RM ANOVA) Chapter 13: Factorial Analysis of Variance (ANOVA) Chapter 14: Correlation Chapter 15: Regression Chapter 16: Chi-Square Tests

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