Statistics for Research and Life 1st Edition By Gary Lewandowski., Kevin McIntyre
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- 1,364
- File size
- 24.14 MB
- Format
- Digital PDF
- Course
- Statistics
- Category
- eBook[PDF]
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About this ebook
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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24.14 MB