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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 ï¿½ is Known | |

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Margin of Error | |

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Confidence Intervals for One Population Mean When ï¿½ 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 ï¿½ 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 ï¿½ 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 Mannï¿½Whitney 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 Kruskalï¿½Wallis 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 tï¿½ | |

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Values of Wï¿½ | |

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Values of Mï¿½ | |

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Values of ï¿½ï¿½2 | |

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Values of Fï¿½ | |

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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 | |