1.10 The Normal Distribution
1.2 The Language of Variation
1.3 Representing a Categorical Variable with Tables
1.4 Representing a Categorical Variable with Graphs
1.5 Representing a Quantitative Variable with Graphs
1.6 Describing the Distribution of a Quantitative Variable
1.7 Summary Statistics for a Quantitative Variable
1.8 Graphical Representations of Summary Statistics
1.9 Comparing Distributions of a Quantitative Variable
2.1 Introducing Statistics
2.2 Representing Two Categorical Variables
2.3 Statistics for Two Categorical Variables
2.4 Representing the Relationship Between Two Quantitative Variables
2.5 Correlation
2.6 Linear Regression Models
2.7 Residuals
2.8 Least Squares Regression
2.9 Analyzing Departures from Linearity
3.1 Introducing Statistics
3.2 Introduction to Planning a Study
3.3 Random Sampling and Data Collection
3.4 Potential Problems with Sampling
3.5 Introduction to Experimental Design
3.6 Selecting an Experimental Design
3.7 Inference and Experiments
4.10 Introduction to the Binomial Distribution
4.1 Introducing Statistics
4.11 Parameters for a Binomial Distribution
4.12 The Geometric Distribution
4.2 Estimating Probabilities Using Simulation
4.3 Introduction to Probability
4.4 Mutually Exclusive Events
4.5 Conditional Probability
4.6 Independent Events and Unions of Events
4.7 Introduction to Random Variables and Probability Distributions
4.8 Mean and Standard Deviation of Random Variables
4.9 Combining Random Variables
5.1 Introducing Statistics
5.2 The Normal Distribution, Revisited
5.3 The Central Limit Theorem
5.4 Biased and Unbiased Point Estimates
5.5 Sampling Distributions for Sample Proportions
5.6 Sampling Distributions for Differences in Sample Proportions
5.7 Sampling Distributions for Sample Means
5.8 Sampling Distributions for Differences in Sample Means
6.10 Setting Up a Test for the Difference of Two Population Proportions
6.1 Introducing Statistics
6.11 Carrying Out a Test for the Difference of Two Population Proportions
6.2 Constructing a Confidence Interval for a Population Proportion
6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion
6.4 Setting Up a Test for a Population Proportion
6.5 Interpreting p-Values
6.6 Concluding a Test for a Population Proportion
6.7 Potential Errors When Performing Tests
6.8 Confidence Intervals for the Difference of Two Proportions
6.9 Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions
7.1 Introducing Statistics
7.2 Constructing a Confidence Interval for a Population Mean
7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval
7.4 Setting Up a Test for a Population Mean
7.5 Carrying Out a Test for a Population Mean
7.6 Confidence Intervals for the Difference of Two Means
7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
7.8 Setting Up a Test for the Difference of Two Population Means
7.9 Carrying Out a Test for the Difference of Two Population Means
8.1 Introducing Statistics
8.2 Setting Up a Chi Square Goodness of Fit Test
8.3 Carrying Out a Chi Square Goodness of Fit Test
8.4 Expected Counts in Two Way Tables
8.5 Setting Up a Chi-Square Test for Homogeneity or Independence
8.6 Carrying Out a Chi-Square Test for Homogeneity or Independence
9.1 Introducing Statistics
9.2 Confidence Intervals for the Slope of a Regression Model
9.3 Justifying a Claim About the Slope of a Regression Model Based on a Confidence Interval
9.4 Setting Up a Test for the Slope of a Regression Model
9.5 Carrying Out a Test for the Slope of a Regression Model
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