Lectures & Handouts

COURSE MATERIAL

You will have access to the formula sheets and tables for the exams (with the exception of the Table of Random Digits and the Inference Summary):

Unit 1: Exploring Data

• 1.1 Analyzing Categorical Data

• 1.2 Displaying Quantitative Data with Graphs

• 1.3 Describing Quantitative Data with Numbers

• Unit 1 Review

Unit 2: MODELING DISTRIBUTIONS OF DATA

• 2.1 Describing Location in a Distribution

• 2.2 Normal Distributions

• Unit 2 Review

Unit 3: DESCRIBING RELATIONSHIPS

• 3.1 Scatterplots and Correlation

• 3.2 Least-Squares Regression

• Unit 3 Review

Unit 4: DESIGNING STUDIES

• 4.1 Sampling and Surveys

• 4.2 Experiments

• 4.3 Using Studies Wisely

• Unit 4 Review

Unit 5: PROBABILITY - WHAT ARE THE CHANCES?

• 5.1 Randomness, Probability, and Simulation

• 5.2 Probability Rules

• 5.3 Conditional Probability and Independence

• Set Theory

• Unit 5 Review

Unit 6: RANDOM VARIABLES

• 6.1 Discrete and Continuous Random Variables

• 6.2 Transforming and Combining Random Variables

• 6.3 Binomial and Geometric Random Variables

• Unit 6 Review

Unit 7: SAMPLING DISTRIBUTIONS

• 7.1 What is a Sampling Distribution?

• 7.2 Sampling Proportions

• 7.3 Sample Means

• Unit 7 Review

Unit 8: ESTIMATING WITH CONFIDENCE

• 8.1 Confidence Intervals: The Basics

• 8.2 Estimating a Population Proportion

• 8.3 Estimating a Population Mean

• Unit 8 Review

Unit 9: TESTING A CLAIM

• 9.1 Significance Tests: The Basics

• 9.2 Tests about a Population Proportion

• 9.3 Tests about a Population Mean

• Unit 9 Review

Unit 10: COMPARING TWO POPULATIONS OR GROUPS

• 10.1 Comparing Two Proportions

• 10.2 Comparing Two Means

• Unit 10 Review

Unit 11: INFERENCE FOR DISTRIBUTIONS OF CATEGORICAL DATA

• 11.1 Chi-Square Goodness-of-Fit Tests

• 11.2 Inference for Relationships

• Unit 11 Review

Unit 12: MORE ABOUT REGRESSION

• 12.1 Inference for Linear Regression

• 12.2 Transforming to Achieve Linearity