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| Statistics, Data, and Statistical Thinking | |
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| The Science of Statistics | |
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| Types of Statistical Applications | |
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| Fundamental Elements of Statistics | |
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| Types of Data | |
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| Collecting Data | |
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| The Role of Statistics in Critical Thinking | |
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| Statistics in Action: USA Weekend Teen Surveys - Are Boys Really from Mars and Girls from Venus? | |
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| Using Technology: Creating and Listing Data in Minitab | |
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| Methods for Describing Sets of Data | |
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| Describing Qualitative Data | |
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| Graphical Methods for Describing Quantitative Data | |
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| Summation Notation | |
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| Numerical Measures of Central Tendency | |
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| Numerical Measures of Variability | |
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| Interpreting the Standard Deviation | |
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| Numerical Measures of Relative Standing | |
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| Methods for Detecting Outliers (Optional) | |
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| Graphing Bivariate Relationships (Optional) | |
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| Distorting the Truth with Descriptive Techniques | |
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| Statistics In Action: The "Eye Cue" | |
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| Test: Does Experience Improve Performance? | |
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| Using Technology: Describing Data in Minitab | |
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| Probability (from McClave 11endash;Chap 3) | |
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| Events, Sample Spaces, and Probability | |
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| Unions and Intersections | |
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| Complementary Events | |
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| The Additive Rule and Mutually Exclusive Events | |
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| Conditional Probability | |
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| The Multiplicative Rule and Independent Events | |
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| Random Sampling | |
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| Some Counting Rules (Optional) | |
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| Statistics In Action: Lotto Buster! - Can You Improve Your Chances of Winning the Lottery? | |
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| Using Technology: Generating a Random Sample in Minitab | |
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| Random Variables and Probability Distributions | |
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| Two Types of Random Variables | |
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| Probability Distributions for Discrete Random Variables | |
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| The Binomial Distribution | |
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| Probability Distributions for Continuous Random Variables | |
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| The Normal Distribution | |
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| Descriptive Methods for Assessing Normality | |
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| Approximating a Binomial Distribution with a Normal Distribution (Optional) | |
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| Sampling Distributions | |
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| The Central Limit Theorem | |
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| Statistics in Action: Super Weapons Development - Is the Hit Ratio Optimized? | |
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| Using Technology: Binomial Probabilities, Normal Probabilities, and Normal Probability Plots in Minitab | |
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| Inferences Based on a Single Sample: Estimation with Confidence Intervals | |
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| Identifying the Target Parameter | |
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| Large-Sample Confidence Interval for a Population Mean | |
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| Small-Sample Confidence Interval for a Population Mean | |
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| Large-Sample Confidence Interval for a Populati | |