| |
| |
| |
| What Is Statistics? | |
| |
| |
| Key Statistical Concepts | |
| |
| |
| Statistical Applications in Business | |
| |
| |
| Statistics and the Computer | |
| |
| |
| World Wide Web and Learning Center | |
| |
| |
| |
| Instructions for the CD-ROM | |
| |
| |
| |
| Graphical Descriptive Techniques I | |
| |
| |
| Types of Data and Information | |
| |
| |
| Describing a Set of Nominal Data | |
| |
| |
| Describing the Relationship between Two Nominal Variables and Comparing Two or More Nominal Data Sets | |
| |
| |
| |
| Graphical Descriptive Techniques II | |
| |
| |
| Graphical Techniques to Describe a Set of Interval Data | |
| |
| |
| Describing Time-Series Data | |
| |
| |
| Describing the Relationship between Two Interval Variables | |
| |
| |
| Art and Science of Graphical Presentations | |
| |
| |
| |
| Numerical Descriptive Techniques | |
| |
| |
| Measures of Central Location | |
| |
| |
| Measures of Variability | |
| |
| |
| Measures of Relative Standing and Box Plots | |
| |
| |
| Measures of Linear Relationship | |
| |
| |
| APPLICATIONS IN PROFESSIONAL SPORTS: Baseball | |
| |
| |
| APPLICATIONS IN FINANCE: Market Model | |
| |
| |
| Comparing Graphical and Numerical Techniques | |
| |
| |
| General Guidelines for Exploring Data | |
| |
| |
| |
| Review of Chapters 2 to 4 | |
| |
| |
| |
| Data Collection and Sampling | |
| |
| |
| Methods of Collecting Data | |
| |
| |
| Sampling | |
| |
| |
| Sampling Plans | |
| |
| |
| Sampling and Nonsampling Errors | |
| |
| |
| |
| Probability | |
| |
| |
| Assigning Probability to Events | |
| |
| |
| Joint, Marginal, and Conditional Probability | |
| |
| |
| Probability Rules and Trees | |
| |
| |
| Bayes' Law | |
| |
| |
| Identifying the Correct Method | |
| |
| |
| |
| Random Variables and Discrete Probability Distributions | |
| |
| |
| Random Variables and Probability Distributions | |
| |
| |
| Bivariate Distributions | |
| |
| |
| APPLICATIONS IN FINANCE: Investment Portfolio Diversification and Asset Allocation | |
| |
| |
| Binomial Distribution | |
| |
| |
| Poisson Distribution | |
| |
| |
| |
| Continuous Probability Distributions | |
| |
| |
| Probability Density Functions | |
| |
| |
| Normal Distribution | |
| |
| |
| Exponential Distribution | |
| |
| |
| Other Continuous Distributions | |
| |
| |
| |
| Sampling Distributions | |
| |
| |
| Sampling Distribution of the Mean | |
| |
| |
| Sampling Distribution of a Proportion | |
| |
| |
| Sampling Distribution of the Difference between Two Means | |
| |
| |
| From Here to Inference | |
| |
| |
| |
| Introduction to Estimation | |
| |
| |
| Concepts of Estimation | |
| |
| |
| Estimating the Population Mean When the Population Standard Deviation Is Known | |
| |
| |
| Selecting the Sample Size | |
| |
| |
| |
| Introduction to Hypothesis Testing | |
| |
| |
| Concepts of Hypothesis Testing | |
| |
| |
| Testing the Population Mean When the Population Standard Deviation Is Known | |
| |
| |
| Calculating the Probability of a Type II Error | |
| |
| |
| The Road Ahead | |
| |
| |
| |
| Inference about One Population | |
| |
| |
| Inference about a Population Mean When the Standard Deviation is Unknown | |
| |
| |
| Inference about a Population Variance | |
| |
| |
| Inference about a Population Proportion | |
| |
| |
| APPLICATIONS IN MARKETING: Market Segmentation | |
| |
| |
| |
| Inference about Two Populations | |
| |
| |
| Inference about the Difference between Two Means: Independent Samples | |
| |
| |
| Observational and Experimental Data | |
| |
| |
| Inference about the Difference between Two Means: Matched Pairs Experiment | |
| |
| |
| Inference about the Ratio of Two Variances | |
| |
| |
| Inference about the Difference between Two Population Proportions | |
| |
| |
| |
| Review of Chapters 12 and 13 | |
| |
| |
| |
| Analysis of Variance | |
| |
| |
| One-Way Analysis of Variance | |
| |
| |
| Multiple Comparisons | |
| |
| |
| Analysis of Variance Experimental Designs | |
| |
| |
| Randomized Blocks (Two Way) Analysis of Variance | |
| |
| |
| Two-Factor Analysis of Variance | |
| |
| |
| APPLICATIONS IN OPERATIONS MANAGEMENT: Finding and Reducing Variation | |
| |
| |
| |
| Review of Chapters 12 to 14 | |
| |
| |
| |
| Chi-Squared Tests | |
| |
| |
| Chi-Squared Goodness-of-Fit Test | |
| |
| |
| Chi-Squared Test of a Contingency Table | |
| |
| |
| Summary of Tests on Nominal Data | |
| |
| |
| Chi-Squared Test for Normality | |
| |
| |
| |
| Review of Chapters 12 to 15 | |
| |
| |
| |
| Simple Linear Regression | |
| |
| |
| Model | |
| |
| |
| Estimating the Coefficients | |
| |
| |
| Error Variable: Required Conditions | |
| |
| |
| Assessing the Model | |
| |
| |
| Using the Regression Equation | |
| |
| |
| Regression Diagnostics ' I | |
| |
| |
| |
| Review of Chapters 12 to 16 | |
| |
| |
| |
| Multiple Regression | |
| |
| |
| Model and Required Conditions | |
| |
| |
| Estimating the Coefficients and Assessing the Model | |
| |
| |
| Regression Diagnostics ' II | |
| |
| |
| Regression Diagnostics- III (Time Series) | |
| |
| |
| |
| Review of Chapters 12 to 17 | |
| |
| |
| |
| Data File Sample Statistics | |
| |
| |
| |
| Tables | |
| |
| |
| |
| Binomial Probabilities | |
| |
| |
| |
| Poisson Probabilities | |
| |
| |
| |
| Normal Probabilities | |
| |
| |
| |
| Crit | |