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Purchase Benefits
What is included with this book?
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 | |
(Options) Applications In Professional Sports: Baseball | |
(Optional) 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 | |
(Optional) Applications In Finance: Investment Portfolio Diversification and Asset Allocation | |
Binomial Distribution | |
Poisson Distribution | |
Continuous Probability Distributions | |
Probability Density Functions | |
Normal Distribution | |
(Optional) 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 | |
(Optional) 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 | |
(Optional) 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 | |
(Optional) 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 | |
Model Building | |
Polynomial Models | |
Nominal Independent Variables | |
(Optional) Applications In Human Resources Management: Pay Equity | |
Logistic Regression | |
Stepwise Regression | |
Model Building | |
Nonparametric Statistical Techniques | |
Wilcoxon Rank Sum Test | |
Sign Test and Wilcoxon Signed Rank Sum Test | |
Kruskal-Wallis Test | |
Friedman Test | |
Spearman Rank Correlation | |
Review of Chapters 12 to 19 | |
Time-Series Analysis and Forecasting | |
Time Series Components | |
Smoothing Techniques | |
Trend and Seasonal Effects | |
Introduction to Forecasting | |
Forecasting Models | |
Statistical Process Control. 21.1.Process Variation | |
Control Charts | |
Control Charts for Variables: and S Charts | |
Control Charts for Attributes: p Chart. 22:Decision Analysis | |
Decision Problem | |
Acquiring, Using and Evaluating Additional Information | |
Conclusion | |
Data File Sample Statistics | |
Tables | |
Binomial Probabilities | |
Poisson Probabilities | |
Normal Probabilities | |
Critical Values of t | |
Critical Values of | |
Critical Values of F | |
Critical Values of the Studentized Range | |
Critical Values for the Durbin-Watson Statistic | |
Critical Values for the Wilcoxon Rank Sum Test | |
Critical Values for the Wilcoxon Signed Rank Sum Test | |
Critical Values for the Spearman Rank Correlation Coefficient | |
Control Chart Constants | |
Answers to Selected Even-Numbered Exercises | |
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