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| Introduction and Data Collection | |
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| Overview of Statistics | |
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| Applying Statistics to Business | |
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| How This Text Is Organized | |
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| The Importance of Collecting Data | |
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| Identifying Sources of Data | |
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| Design of Survey Research | |
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| Types of Survey Sampling Methods | |
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| Types of Data | |
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| Evaluating Survey Worthiness | |
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| Presenting Data in Tables and Charts | |
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| Organizing Numerical Data | |
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| Tables and Charts for Numerical Data | |
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| Graphing Bivariate Numerical Data | |
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| Tables and Charts for Categorical Data | |
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| Tabulating and Graphing Bivariate Categorical Data | |
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| Graphical Excellence | |
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| Numerical Descriptive Measures | |
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| Exploring Numerical Data and Their Properties | |
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| Measures of Central Tendency, Variation, and Shape | |
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| Obtaining Descriptive Summary Measures from a Population | |
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| Obtaining Descriptive Summary Measures from a Frequency Distribution | |
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| Exploratory Data Analysis | |
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| The Coefficient of Correlation | |
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| Pitfalls in Numerical Descriptive Measures and Ethical Issues | |
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| Basic Probability | |
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| Basic Probability Concepts | |
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| Conditional Probability | |
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| Bayes' Theorem | |
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| Counting Rules | |
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| Ethical Issues and Probability | |
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| Some Important Discrete Probability Distributions | |
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| The Probability Distribution for a Discrete Random Variable | |
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| Covariance and Its Application in Finance | |
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| Binomial Distribution | |
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| Hypergeometric Distribution | |
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| Poisson Distribution | |
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| CD ROM Topic Using the Poisson Distribution to Approximate the Binomial Distribution | |
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| The Normal Distribution and Other Continuous Distributions | |
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| The Normal Distribution | |
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| Evaluating the Normality Assumption | |
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| The Uniform Distribution | |
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| The Exponential Distribution | |
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| CD ROM Topic The Normal Approximation to the Binomial Distribution | |
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| Sampling Distributions | |
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| Sampling Distribution of the Mean | |
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| Sampling Distribution of the Proportion | |
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| CD ROM Topic Sampling from Finite Populations | |
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| Confidence Interval Estimation | |
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| Confidence Interval Estimation of the Mean (sigma; Known) | |
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| Confidence Interval Estimation of the Mean (sigma; Unknown) | |
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| Confidence Interval Estimation for the Proportion | |
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| Determining Sample Size | |
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| Applications of Confidence Interval Estimation in Auditing | |
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| Confidence Interval Estimation and Ethical Issues | |
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| CD ROM Topic Estimation and Sample Size Determination for Finite | |
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| Fundamentals of Hypothesis Testing: One-Sample Tests | |
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| Hypothesis-Testing Methodology | |
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| Z Test of Hypothesis for the Mean (sigma; Known) | |
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| One-Tailed Tests | |
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| t Test of Hypothesis for the Mean (sigma; Unknown) | |
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| Z Test of Hypothesis for the Proportion | |
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| x 2 Test of Hypothesis for the Variance or Standard Deviation | |
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| Potential Hypothesis-Testing Pitfalls and Ethical Issues | |
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| CD ROM Topic The Power of a Test | |
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| Two Sample Tests with Numerical Data | |
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| Comparing Two Independent Samples: Tests for Differences in Two Means | |
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| F Test for Differences in Two Variances | |
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| Comparing Two Related Samples: Tests for the Mean Difference | |
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| Wilcoxon Rank Sum Test: Nonparametric Analysis for Two Independent Populations | |
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| Wilcoxon Signed-Ranks Test: Nonparametric Analysis for Two Related Populations | |
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| Analysis of Variance | |
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| The Completely Randomized Design: One-Way Analysis of Variance | |
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| The Randomized Block Design | |
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| The Factorial Design: Two-Way Analysis of Variance | |
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| Kruskal-Wallis Rank Test: Nonparametric Analysis for the One-Way Design | |
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| Friedman Rank Test: Nonpa | |