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Unit 1A - Exploring One-Variable Data
1.1 Introducing Statistics: What Can We Learn from Data? 1.2 Variables 1.3 Tabular Representation and Summary Statistics for One Categorical Variable 1.4 Graphical Representations for One Categorical Variable Mid Unit1A Review 1.5 Graphical Representations for One Quantitative Variable 1.6 Descriptions for One Quantitative Variable Distributions 1.7A Summary Statistics for One Quantitative Variable 1.7B Summary Statistics for One Quantitative Variable 1.8 Graphical Representations of Summary Statistics for One Quantitative Variable 1.9 Comparisons of the Distributions for One Quantitative Variable Unit 1B - Collecting Data
1.10A The Investigative Question Revisited and Data Collection 1.10B The Investigative Question Revisited and Data Collection 1.11 Random Sampling 1.12 Potential Problems with Sampling 1.13A Experimental Design 1.13B Experimental Design Unit 1 B Review Unit 2A - Probability
2.1 Tabular and Graphical Representations for the Distributions of Two Categorical Variables 2.2 Summary Statistics for Two Categorical Variables 2.3 Estimating Probabilities Using Simulation 2.4 Introduction to Probability 2.5 Mutually Exclusive Events 2.6 Conditional Probability 2.7 Independent Events and Unions of Events Unit 2B - Random Variables & Probability Distribution
2.8 Introduction to Random Variables and Probability Distributions 2.9 Parameters of Random Variables 2.10 The Binomial Distribution 2.11 The Normal Distribution 2.12 Sampling Distributions and the Central Limit Theorem Unit 3A - Inference for Categorical Data: Proportions
3.1 Estimators 3.2 Sampling Distributions 3.3 Constructing a Confidence Interval for a Population Proportion 3.4 Justifying a Claim Based on a Confidence Interval for a Population Proportion 3.5 Setting Up a Test for a Population Proportion 3.6 p-Values 3.7 Carrying Out a Test for a Population Proportion 3.8 Potential Errors When Performing Tests |
Unit 3B - Inference for Categorical Data: Proportions
3.9 Sampling Distributions for the Difference Between Sample Proportions 3.10 Constructing a Confidence Interval for the Difference Between Two Population Proportions 3.11 Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Proportions 3.12 Setting Up a Test for the Difference Between Two Population Proportions 3.13 Carrying Out a Test for the Difference Between Two Population Proportions 3.14 Setting Up a Chi-Square Test for Homogeneity 3.15 Carrying Out a Chi-Square Test for Homogeneity or Independence Unit 4A - Inference for Quantitative Data: Means
4.1 Sampling Distributions for Sample Means 4.2 Construction a Confidence Interval for a Population Mean or Population Mean Difference 4.3 Justifying a Claim Based on a Confidence Interval for a Population Mean or Population Mean Difference 4.4 Setting Up a Test for a Population Mean or Population Mean Difference 4.5 Carrying Out a Test for a Population Mean or Population Mean Difference Unit 4B - Inference for Quantitative Data: Means
4.6 Sampling Distributions for the Difference Between Two Sample Means 4.7 Constructing a Confidence Interval for the Difference Between Two Population Means 4.8 Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Means 4.9 Setting Up a Test for the Difference Between Two Population Means 4.10 Carrying Out a Test for the Difference Between Two Population Means Unit 5 - Regression Analysis
5.1 Graphical Representations Between Two Quantitative Variables 5.2 Correlation 5.3 Linear Regression Models 5.4 Residuals 5.5 Least-Squares Regression |