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What is Statistics? | |

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Introduction | |

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Key Statistical Concepts | |

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Statistics and the Computer | |

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World Wide Web and Learning Center | |

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Introduction to Microsoft Excel | |

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Graphical Descriptive Techniques | |

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Introduction | |

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Types of Data | |

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Graphically Describing Interval Data: Frequency Distributions and Histograms | |

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Graphically Describing Nominal Data: Bar and Pie Charts | |

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Describing Time-Series Data: Line Charts | |

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Describing the Relationship between Two Interval Variables: Scatter Diagrams | |

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Summary | |

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Numerical Descriptive Techniques for Interval Data | |

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Introduction | |

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Measures of Central Location | |

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Measures of Variability | |

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Other Measures of Shape (Optional) | |

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Measures of Relative Standing and Box Plots | |

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Measures of Linear Relationship | |

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General Guidelines for Exploring Data | |

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Summary | |

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Probability | |

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Introduction | |

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Assigning Probability to Events | |

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Joint, Marginal, and Conditional Probability | |

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Probability Rules and Trees | |

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Summary | |

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Let's Make a Deal | |

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To Bunt or Not to Bunt, That Is the Question | |

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Random Variables and Discrete Probability Distributions | |

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Introduction | |

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Random Variables and Probability Distributions | |

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Describing the Population/Probability Distribution | |

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Binomial Distribution | |

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Poisson Distribution | |

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Summary | |

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To Bunt or Not to Bunt, That Is the Question, Part II | |

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Continuous Probability Distributions | |

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Introduction | |

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Probability Density Functions | |

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Normal Distribution | |

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Other Continuous Distributions | |

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Summary | |

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Sampling and Sampling Plans | |

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Introduction | |

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Sampling | |

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Sampling Plans | |

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Errors Involved in Sampling | |

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Summary | |

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Sampling Distributions | |

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Introduction | |

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Sampling Distribution of the Mean | |

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Creating the Sampling Distribution by Computer Simulation (Optional) | |

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Sampling Distribution of a Proportion | |

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Sampling Distribution of the Difference between Two Means | |

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From Here to Inference | |

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Summary | |

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Introduction to Estimation | |

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Introduction | |

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Concepts of Estimation | |

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Estimating the Population Mean when the Population Standard Deviation Is Known | |

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Selecting the Sample Size | |

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Simulation Experiments (Optional) | |

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Summary | |

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Introduction to Hypothesis Testing | |

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Introduction | |

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Concepts of Hypothesis Testing | |

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Testing the Population Mean when the Population Standard Deviation Is Known | |

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Calculating the Probability of a Type II Error | |

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The Road Ahead | |

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Summary | |

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Inference About A Single Population | |

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Introduction | |

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Inference about a Population Mean when the Standard Deviation Is Unknown | |

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Inference about a Population Variance | |

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Inference about a Population Proportion | |

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Summary | |

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Pepsi's Exclusivity Agreement with a University | |

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Pepsi's Exclusivity Agreement with a University: The Coke Side of the Equation | |

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Number of Uninsured Motorists | |

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Inference About Two Populations | |

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Introduction | |

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Inference about the Difference between Two Means: Independent Samples | |

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Observational and Experimental Data | |

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Inference about the Difference between Two Means: Matched Pairs Experiment | |

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Inference about the Ratio of Two Variances | |

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Inference about the Difference between Two Population Proportions | |

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Summary | |

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Bonanza International | |

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Accounting Course Exemptions | |

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Statistical Inference: Review of Chapters 11 and 12 | |

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Introduction | |

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Guide to Identifying the Correct Technique: Chapters 11 and 12 | |

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Quebec Separation: Oui ou non? | |

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Host Selling and Announcer Commercials | |

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Analysis of Variance | |

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Introduction | |

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Single-Factor (One-Way) Analysis of Variance: Independent Samples | |

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Analysis of Variance Experimental Designs | |

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Single-Factor Analysis of Variance: Randomized Blocks | |

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Two-Factor Analysis of Variance: Independent Samples | |

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Multiple Comparisons | |

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Bartlett's Test | |

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Summary | |

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Chi-Squared Tests | |

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Introduction | |

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Chi-Squared Goodness-of-Fit Test | |

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Chi-Squared Test of a Contingency Table | |

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Summary of Tests on Nominal Data | |

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Chi-Squared Test for Normality | |

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Summary | |

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Predicting the Outcomes of Basketball, Baseball, Football, and Hockey Games from Intermediate Results | |

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Can Exposure to a Code of Professional Ethics Help Make Managers More Ethical? | |

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Nonparametric Statistical Techniques | |

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Introduction | |

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Wilcoxon Rank Sum Test | |

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Sign Test and Wilcoxon Signed Rank Sum Test | |

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Kruskal-Wallis Test | |

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Friedman Test | |

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Summary | |

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Simple Linear Regression and Correlation | |

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Introduction | |

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Model | |

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Estimating the Coefficients | |

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Error Variable: Required Conditions | |

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Assessing the Model | |

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Using the Regression Equation | |

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Coefficients of Correlation | |

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Regression Diagnostics I | |

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Summary | |

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Predicting University Grades from High School Grades | |

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Insurance Compensation for Lost Revenues | |

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Multiple Regression | |

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Introduction | |

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Model and Required Conditions | |

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Estimating the Coefficients and Assessing the Model | |

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Regression Diagnostics II | |

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Regression Diagnostics III (Time Series) | |

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Nominal Independent Variables | |

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Summary | |

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Quebec Referendum Vote: Was There Electoral Fraud? | |

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Quebec Referendum Vote: The Rebuttal | |

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Statistical Inference: Conclusion | |

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Introduction | |

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Identifying the Correct Technique: Summary of Statistical Inference | |

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Do Banks Discriminate against Women Business Owners? I | |

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Do Banks Discriminate against Women Business Owners? II | |

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The Last Word | |

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Ambulance and Fire Department Response Interval Study | |

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PC Magazine Survey | |

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WLU Graduate Survey | |

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Evaluation of a New Antidepressant Drug | |

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Nutrition Education Programs | |

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Do Banks Discriminate against Women Business Owners? III | |

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Sample Statistics from Data Files in Chapters 9 and 10 | |

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Tables | |

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Answers to Selected Even-Numbered Exercises | |

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Index | |