Section 1.1: Definitions & Key Terms
Section 1.2: Data & Sampling
Section 1.3: Frequencies & Tables
Section 1.4: Experimental Design & Ethics
Section 2.2: Histograms & Frequency Polygons
Section 2.3: Measures of the Location of Data
Section 2.4: Box Plots
Section 2.5: Measures of Center
Section 2.6: Skewness
Section 2.7: Measures of Spread
Section 3.1: Probability Terminology
Section 3.2: Independent & Mutually Exclusive Events
Section 3.3: Two Basic Rules of Probability
Section 4.1: Discrete Probability Distributions
Section 4.2: Mean & Standard Deviation
Section 4.3: The Binomial Distribution
Part 2: Continuous Probability Distributions; Statistical Inference
Section 5.1: Continuous Probability Distributions
Section 5.2: The Uniform Distribution
Section 6.1 & 6.2: The Normal Distribution
Section 7.1 & 7.3: The Central Limit Theorem
Section 8.1: Confidence Intervals for a Population Mean ($\sigma$ Known)
Section 8.2: Confidence Intervals for a Population Mean ($\sigma$ Unknown)
Section 8.3: Confidence Intervals for a Population Proportion
Section 9.1-9.4: Tests of Significance: The Big Idea
Section 9.5: Tests of Significance for a Population Mean ($\sigma$ Known)
Section 9.5: Tests of Significance for a Population Mean ($\sigma$ Unknown)
Section 9.5: Type I and Type II Errors
Section 9.5: Tests of Significance for a Population Proportion
Section 10.1: Comparing Two Population Means
Section 10.1: Type I and Type II Errors (Revisited)
Section 10.3: Comparing Two Population Proportions