Applied Statistical Methods
Lectures

"Responses" to Questions can be filled in during lecture. If you prefer the handouts to appear horizontally instead of vertically (but smaller, with bigger margins), delete the letters "large" from the pdf file before printing.

• Lecture 1 slides on Introduction, Sampling
• Lecture 2 slides on Designing Studies (Focus on Observational Studies)
• Lecture 3 slides on Designing Studies (Focus on Experiments)
• Lecture 4 slides on Designing Studies (Focus on Sample Surveys)
• Lecture 5 slides on Single Variables (Focus on Categorical Variables)
• Lecture 6 slides on Quantitative Variables (Displays, Begin Summaries)
• Lecture 7 slides on Quantitative Variables (Summaries, Begin Normal)
• Lecture 8 slides on Quantitative Variables (Normal)
• Lecture 9 slides on Relationships (Categorical and Quantitative Variables)
• Lecture 10 slides on Relationships (Two Categorical Variables)
• Lecture 11 slides on Relationships (Two Quantitative Variables: Correlation)
• Lecture 12 slides on Relationships (Two Quantitative Variables: Regression)
• Lecture 13 slides on Basic Probability Rules
• Lecture 14 slides on More Advanced Probability Rules
• Lecture 15 slides on Random Variables
• Lecture 16 slides on Binomial Random Variables
• Lecture 17 slides on Normal Random Variables
• Lecture 18 slides on the Tails of the Normal Curve
• Lecture 19 slides on Distribution of Sample Proportion
• Lecture 20 slides on Distribution of Sample Mean
• Lecture 21 slides on Inference for Categorical Variables: Confidence Intervals
• Lecture 22 slides on Inference for Categorical Variables: Hypothesis Tests
• Lecture 23 slides on Inference for Categorical Variables: More About Hypothesis Tests
• Lecture 24 slides on Inference for Quantitative Variables: Confidence Intervals with z
• Lecture 25 slides on Inference for Quantitative Variables: Hypothesis Tests with z
• Lecture 26 slides on Inference for Quantitative Variables: Confidence Intervals with t
• Lecture 27 slides on Inference for Quantitative Variables: Hypothesis Tests with t
• Lecture 28 slides on Relationships between Categorical and Quantitative Variables: Paired
• Lecture 29 slides on Relationships between Categorical and Quantitative Variables: Two-Sample
• Lecture 30 slides on Relationships between Categorical and Quantitative Variables: Several-Sample (ANOVA with F)
• Lecture 31 slides on Relationships between Categorical and Quantitative Variables: More About ANOVA
• Lecture 32 slides on Relationships between Two Categorical Variables: Chi-Square
• Lecture 33 slides on Relationships between Two Categorical Variables: More About Chi-Square
• Lecture 34 slides on Relationships between Two Quantitative Variables: Inference for Regression
• Lecture 35 slides on Relationships between Two Quantitative Variables: Interval Estimates

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