Chapter 1: Exploring Data
Choosing appropriate graphs and describing distributions with numbers
Chapter 2: The Normal Distribution
Introduces the normal distribution and the concept of density curves. Means and standard deviations. Calculations based on the normal distribution.
Chapter 3: Examining Relationships
Scatterplots, correlation, and least squares regression for data that is approximately linear.
Chapter 4: More on Two-Variable Data
Transforming exponential and power relationships to linear. Cautions about correlation and regression. Categorical data.
Chapter 5: Producing Data
Designing samples. Designing and simulating experiments.
Chapter 6: Probability: The Study of Randomness
Introduction to probability. Calculations using probability rules.
Chapter 7: Random Variables
Discrete and continuous random variables. Calculating means and variances of random variables.
Chapter 8: The Binomial and Geometric Distributions
Binomial and geometric distributions
Chapter 9: Sampling Distributions
Introduction to the central limit theorem. Sampling distributions, sample proportions and sample means.
Chapter 10: Introduction to Inference
Introduction to confidence intervals and tests of significance. Decisions based on confidence intervals and tests. Significant and practical results.
Chapter 11: Inference for Distributions
Inference based on means, one and two samples.
Chapter 12: Inference for Proportions
Inference based on one and two proportions.
Chapter 13: Inference for Tables: Chi-Square Procedures
Multinomial experiments (Goodness of Fit).
Tests for independence using two-way tables.
Chapter 14: Inference for Regression
Inference for linear models. Predictions and conditions.