Preface | |

Supplements List | |

Data Sources | |

Introduction | |

The Nature of Statistics | |

Statistics Basics | |

Simple Random Sampling | |

Other Sampling Designs* | |

Experimental Designs* | |

Descriptive Statistics | |

Organizing Data | |

Variables and Data | |

Grouping Data | |

Graphs and Charts | |

Distribution Shapes | |

Misleading Graphs | |

Descriptive Measures | |

Measures of Center | |

Measures of Variation | |

The Five-Number Summary | |

Boxplots | |

Descriptive Measures for Populations | |

Use of Samples | |

Probability, Random Variables, and Sampling Distributions | |

Probability Concepts | |

Probability Basics | |

Events | |

Some Rules of Probability | |

Contingency Tables | |

Joint and Marginal Probabilities* | |

Conditional Probability* | |

The Multiplication Rule | |

Independence* | |

Bayes's Rule* | |

Counting Rules* | |

Discrete Random Variables* | |

Discrete Random Variables and Probability Distributions* | |

The Mean and Standard Deviation of a Discrete Random Variable* | |

The Binomial Distribution* | |

The Poisson Distribution* | |

The Normal Distribution | |

Introducing Normally Distributed Variables | |

Areas Under the Standard Normal Curve | |

Working with Normally Distributed Variables | |

Assessing Normality | |

Normal Probability Plots | |

Normal Approximation to the Binomial Distribution* | |

The Sampling Distribution of the Sample Mean | |

Sampling Error the Need for Sampling Distributions | |

The Mean and Standard Deviation of the Sample Mean | |

The Sampling Distribution of the Sample Mean | |

Inferential Statistics | |

Confidence Intervals for One Population Mean | |

Estimating a Population Mean | |

Confidence Intervals for One Population Mean When ó is Known | |

Margin of Error | |

Confidence Intervals for One Population Mean When ó is Unknown | |

Hypothesis Tests for One Population Mean | |

The Nature of Hypothesis Testing | |

Terms, Errors, and Hypotheses | |

Hypothesis Tests for One Population Mean When ó is Known | |

Type II Error Probabilities Power* | |

P-Values | |

Hypothesis Tests for One Population Mean When ó is Unknown | |

The Wilcoxon Signed-Rank Test* | |

Which Procedure Should Be Used?* | |

Inferences for Two Population Means | |

The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples | |

Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal | |

Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal | |

The MannùWhitney Test* | |

Inferences for Two Population Means, Using Paired Samples | |

The Paired Wilcoxon Signed-Rank Test* | |

Which Procedure Should Be Used?* | |

Inferences for Population Standard Deviations* | |

Inferences for One Population Standard Deviation* | |

Inferences for Two Population Standard Deviations, Using Independent Samples* | |

Inferences for Population Proportions | |

Confidence Intervals for One Population Proportion | |

Hypothesis Tests for One Population Proportion | |

Inferences for Two Population Proportions | |

Chi-Square Procedures | |

The Chi-Square Distribution | |

Chi-Square Goodness-of-Fit Test | |

Contingency Tables | |

Association | |

Chi-Square Independence Test | |

Regression, Correlation, and ANOVA | |

Descriptive Methods in Regression and Correlation | |

Linear Equations With One Independent Variable | |

The Regression Equation | |

The Coefficient of Determination | |

Linear Correlation | |

Inferential Methods in Regression and Correlation | |

The Regression Model | |

Analysis of Residuals | |

Inferences for the Slope of the Population Regression Line | |

Estimation and Prediction | |

Inferences in Correlation | |

Testing for Normality* | |

Analysis of Variance (ANOVA) | |

The F-Distribution | |

One-Way ANOVA: The Logic | |

One-Way ANOVA: The Procedure | |

Multiple Comparisons* | |

The KruskalùWallis Test* | |

Multiple Regression and Model Building | |

Experimental Design and ANOVA (On The WeissStats CD-ROM) | |

Multiple Regression Analysis | |

The Multiple Linear Regression Model | |

Estimation of the Regression Parameters | |

Inferences Concerning the Utility of the Regression Model | |

Inferences Concerning the Utility of Particular Predictor Variables | |

Confidence Intervals for Mean Response Prediction Intervals for Response | |

Checking Model Assumptions and Residual Analysis | |

Model Building in Regression | |

Transformations to Remedy Model Violations | |

Polynomial Regression Model | |

Qualitative Predictor Variables | |

Multicollinearity | |

Model Selection: Stepwise Regression | |

Model Selection: All Subsets Regression | |

Pitfalls and Warnings | |

Design of Experiments and Analysis of Variance | |

Factorial Designs | |

Two-Way ANOVA: The Logic | |

Two-Way ANOVA: The Procedure | |

Two-Way ANOVA: Multiple Comparisons | |

Randomized Block Designs | |

Randomized Block ANOVA: The Logic | |

Randomized Block ANOVA: The Procedure | |

Randomized Block ANOVA: Multiple Comparisons | |

Friedman's Nonparametric Test for the Randomized Block Design* | |

Appendixes | |

Statistical Tables | |

Random numbers | |

Areas under the standard normal curve | |

Normal scores | |

Values of tá | |

Values of Wá | |

Values of Má | |

Values of ÷á2 | |

Values of Fá | |

Critical values for a correlation test for normality | |

Values of q0.01 | |

Values of q0.05 | |

Binomial probabilities | |

Answers to Selected Exercises | |

Index | |

Photo Credits | |

Indexes for Biographical Sketches | |

Case Studies | |

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