Segment 1 Univariate Data Introduction to Univariate Data Pie Charts Graphical Displays of Categorical Data Bar Charts Stem Plots Graphical Displays of Categorical Data Measuring the Center Measuring the Spread The Number Summary and Boxplots Density Curves The Normal Distribution Standardized Scores Normal Distribution Calculations Normality Bivariate and Categorical Data Introduction to Bivariate Data Creating Scatterplots Interpreting Scatterplots Correlation The Least Square Regression Line Residual and Residual Plots Correlation and Regression Details Non-linear Data Exponential Models Power Models Bivariate Categorical Data Simpson’s Paradox and Other Cautions Studies and Experiments Introduction to Studies Experiments and Simulations Designing Samples and Surveys The SRS Bad Sampling Good Sampling Cautions about Sampling Experimental Design Different Experimental Design Cautions about Experiments Simulations Generalizability Probability and Random Variables Introduction and Definition of Probability Sample Spaces and Counting Complements Disjoint Events and Addition Rule Independence and the Multiplication Rule Unions Venn Diagrams and more Probability Conditional Probability Tree Diagrams and more Probability Discrete Random Variables Continuous Random Variable Mean and Variance of Random Variable The Law of Large Numbers and Rules for Means and Variances Binomial, Geometric, and Sampling Distributions Binomial Settings Finding Binomial Probabilities The Binomial Formula Mean and Standard Deviation Practice with Binomial Distributions Geometric Settings Calculating Geometrical Probabilities Mean and Standard Deviation Additional Practice with Binomial and Geometrical Distributions Introduction to Sampling Distributions Sample Proportions Sample Means The Central Limit Theorem Review of Random Variables and Sampling Distributions Segment 2 Introduction to Inference Confidence Intervals Sample Size and Confidence Interval Behavior Confidence Intervals and the Calculator The Significance Test Statistical Significance Connecting Confidence Intervals and Tests of Significance Significance Tests and Decision Making Errors and Power Inference for Means and Proportions Confidence Intervals for T Significance Test for T Conditions for T Testing T Distributions and the Calculator T Intervals for Comparing Two Means T Tests for Comparing Two Means Confidence Intervals for Proportions Significance Tests for Proportions Choosing Sample Size and Using Your Calculator Confidence Intervals and Two Proportions Significance Test for Two Proportions Inference for Goodness of Fit Chi-Squared Test for Goodness of Fit Goodness of Fit Conditional and the Calculator Chi-Squared Test of Association/Independence Chi-Squared Test of Independence Conditions and the Calculator Inference for Regression Estimating Slope Regression and Testing Slope AP Review Culminating Project
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