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Lecture Videos

Part 1: Collecting, Organizing, and Summarizing Data; Discrete Probability Distributions

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 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

OPTIONAL: Section 10.1: Type I and Type II Errors (Revisited)

OPTIONAL: Section 10.3: Comparing Two Population Proportions