Tutorial for the integration of the software, R, with introductory statistics.
Introduction
Chapter 1: Descriptive Statistics
Chapter 2: Descriptive Statistics: Summary Statistics
Chapter 3: The Normal Distribution
Chapter 4: Probability Simulations and some Probability Models
Chapter 5: Sampling Distributions and the Central Limit Theorem
Chapter 6: The Binomial Distribution
Chapter 7: Simple Random Samples
Chapter 9: Confidence Intervals
Chapter 10: The Critical Region and the p-value
Chapter 11: Tests of Hypotheses for one Population Mean
Chapter 12: Tests of Hypotheses for Equality of Two Population Means
Chapter 13: Tests of Hypotheses for One Proportion
Chapter 14: Tests of Hypotheses for Comparing Two Proportions
Chapter 15: Relationship between two quantitative variables: Scatterplots and correlations
Chapter 16: Simple Linear Regression
Chapter 17: Inference for Regression
Chapter 18: One-Way Analysis of Variance
Chapter 19: The Chi-Square test
Chapter 20: Multiple Regression
R-scripts
Introduction
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19
Chapter 20