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| Preface | |
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| Supplements List | |
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| Data Sources | |
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| Introduction | |
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| The Nature of Statistics | |
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| Statistics Basics | |
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| Simple Random Sampling | |
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| Other Sampling Designs* | |
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| Experimental Designs* | |
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| Descriptive Statistics | |
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| Organizing Data | |
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| Variables and Data | |
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| Grouping Data | |
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| Graphs and Charts | |
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| Distribution Shapes | |
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| Misleading Graphs | |
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| Descriptive Measures | |
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| Measures of Center | |
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| Measures of Variation | |
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| The Five-Number Summary | |
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| Boxplots | |
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| Descriptive Measures for Populations | |
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| Use of Samples | |
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| Probability, Random Variables, and Sampling Distributions | |
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| Probability Concepts | |
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| Probability Basics | |
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| Events | |
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| Some Rules of Probability | |
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| Contingency Tables | |
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| Joint and Marginal Probabilities* | |
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| Conditional Probability* | |
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| The Multiplication Rule | |
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| Independence* | |
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| Bayes's Rule* | |
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| Counting Rules* | |
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| Discrete Random Variables* | |
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| Discrete Random Variables and Probability Distributions* | |
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| The Mean and Standard Deviation of a Discrete Random Variable* | |
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| The Binomial Distribution* | |
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| The Poisson Distribution* | |
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| The Normal Distribution | |
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| Introducing Normally Distributed Variables | |
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| Areas Under the Standard Normal Curve | |
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| Working with Normally Distributed Variables | |
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| Assessing Normality | |
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| Normal Probability Plots | |
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| Normal Approximation to the Binomial Distribution* | |
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| The Sampling Distribution of the Sample Mean | |
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| Sampling Error the Need for Sampling Distributions | |
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| The Mean and Standard Deviation of the Sample Mean | |
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| The Sampling Distribution of the Sample Mean | |
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| Inferential Statistics | |
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| Confidence Intervals for One Population Mean | |
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| Estimating a Population Mean | |
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| Confidence Intervals for One Population Mean When � is Known | |
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| Margin of Error | |
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| Confidence Intervals for One Population Mean When � is Unknown | |
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| Hypothesis Tests for One Population Mean | |
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| The Nature of Hypothesis Testing | |
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| Terms, Errors, and Hypotheses | |
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| Hypothesis Tests for One Population Mean When � is Known | |
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| Type II Error Probabilities Power* | |
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| P-Values | |
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| Hypothesis Tests for One Population Mean When � is Unknown | |
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| The Wilcoxon Signed-Rank Test* | |
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| Which Procedure Should Be Used?* | |
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| Inferences for Two Population Means | |
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| The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples | |
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| Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal | |
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| Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal | |
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| The Mann�Whitney Test* | |
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| Inferences for Two Population Means, Using Paired Samples | |
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| The Paired Wilcoxon Signed-Rank Test* | |
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| Which Procedure Should Be Used?* | |
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| Inferences for Population Standard Deviations* | |
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| Inferences for One Population Standard Deviation* | |
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| Inferences for Two Population Standard Deviations, Using Independent Samples* | |
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| Inferences for Population Proportions | |
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| Confidence Intervals for One Population Proportion | |
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| Hypothesis Tests for One Population Proportion | |
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| Inferences for Two Population Proportions | |
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| Chi-Square Procedures | |
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| The Chi-Square Distribution | |
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| Chi-Square Goodness-of-Fit Test | |
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| Contingency Tables | |
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| Association | |
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| Chi-Square Independence Test | |
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| Regression, Correlation, and ANOVA | |
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| Descriptive Methods in Regression and Correlation | |
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| Linear Equations With One Independent Variable | |
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| The Regression Equation | |
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| The Coefficient of Determination | |
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| Linear Correlation | |
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| Inferential Methods in Regression and Correlation | |
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| The Regression Model | |
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| Analysis of Residuals | |
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| Inferences for the Slope of the Population Regression Line | |
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| Estimation and Prediction | |
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| Inferences in Correlation | |
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| Testing for Normality* | |
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| Analysis of Variance (ANOVA) | |
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| The F-Distribution | |
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| One-Way ANOVA: The Logic | |
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| One-Way ANOVA: The Procedure | |
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| Multiple Comparisons* | |
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| The Kruskal�Wallis Test* | |
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| Multiple Regression and Model Building | |
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| Experimental Design and ANOVA (On The WeissStats CD-ROM) | |
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| Multiple Regression Analysis | |
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| The Multiple Linear Regression Model | |
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| Estimation of the Regression Parameters | |
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| Inferences Concerning the Utility of the Regression Model | |
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| Inferences Concerning the Utility of Particular Predictor Variables | |
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| Confidence Intervals for Mean Response Prediction Intervals for Response | |
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| Checking Model Assumptions and Residual Analysis | |
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| Model Building in Regression | |
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| Transformations to Remedy Model Violations | |
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| Polynomial Regression Model | |
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| Qualitative Predictor Variables | |
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| Multicollinearity | |
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| Model Selection: Stepwise Regression | |
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| Model Selection: All Subsets Regression | |
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| Pitfalls and Warnings | |
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| Design of Experiments and Analysis of Variance | |
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| Factorial Designs | |
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| Two-Way ANOVA: The Logic | |
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| Two-Way ANOVA: The Procedure | |
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| Two-Way ANOVA: Multiple Comparisons | |
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| Randomized Block Designs | |
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| Randomized Block ANOVA: The Logic | |
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| Randomized Block ANOVA: The Procedure | |
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| Randomized Block ANOVA: Multiple Comparisons | |
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| Friedman's Nonparametric Test for the Randomized Block Design* | |
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| Appendixes | |
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| Statistical Tables | |
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| Random numbers | |
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| Areas under the standard normal curve | |
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| Normal scores | |
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| Values of t� | |
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| Values of W� | |
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| Values of M� | |
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| Values of ��2 | |
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| Values of F� | |
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| Critical values for a correlation test for normality | |
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| Values of q0.01 | |
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| Values of q0.05 | |
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| Binomial probabilities | |
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| Answers to Selected Exercises | |
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| Index | |
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| Photo Credits | |
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| Indexes for Biographical Sketches | |
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| Case Studies | |
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| indicates an optional section | |