Includes bibliographical references and index.

What Is Statistics? -- Introduction -- Key Statistical Concepts -- Statistical Applications in Business -- Large Real Data Sets -- Statistics and the Computer -- 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 -- 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 -- Sample Statistic or Population Parameter -- Measures of Central Location -- Measures of Variability -- Measures of Relative Standing -- Measures of Linear Relationship -- (Optional) Applications in Finance: Market Model -- Comparing Graphical and Numerical Techniques -- General Guidelines for Exploring Data -- Data Collection and Sampling -- Methods of Collecting Data -- Sampling -- Sampling Plans -- Sampling and Non-Sampling Errors -- Probability -- Assigning Probability to Events -- Joint, Marginal and Conditional Probability -- Probability Rules and Trees -- Bayes's Law -- Identifying the Correct Method -- Random Variables and Discrete Probability Distributions -- Random Variables and Probability Distributions -- Bivariate Distributions -- (Optional) Applications in Finance: 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 a 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 Comparing 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 -- Analysis of Variance -- One-Way Analysis of Variance -- Multiple Comparisons -- Analysis of Variance Experimental Designs -- Randomized Block (Two-Way) Analysis of Variance -- Two-Factor Analysis of Variance -- (Optional) Applications in Operations Management: Finding and Reducing Variation -- 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 -- Simple Linear Regression and Correlation -- Model -- Estimating the Coefficients -- Error Variable: Required Conditions -- Assessing the Model -- Using the Regression Equation -- Regression Diagnostics - I -- Multiple Regression -- Model and Required Conditions -- Estimating the Coefficients and Assessing the Model -- Regression Diagnostics - II -- Regression Diagnostics - III (Time Series) -- Model Building -- Polynomial Models -- Nominal Independent Variables -- (Optional) Applications in Human Resources Management: Pay Equity -- (Optional) Stepwise Regression -- (Optional) Logistic Regression -- Model Building -- Nonparametric Statistics -- Wilcoxon Rank Sum Test -- Sign Test and Wilcoxon Signed Rank Sum Test -- Kruskal-Wallis Test and Friedman Test -- Spearman Rank Correlation Coefficient -- Time-Series Analysis and Forecasting -- Time-Series Components -- Trend and Seasonal Effects -- Introduction to Forecasting -- Forecasting Models -- Statistical Process Control -- Process Variation -- Control Charts -- Control Charts for Variables: x and S Charts -- Control Charts for Attributes: p Chart -- Decision Analysis -- Decision Problem -- Acquiring, Using and Evaluating Additional Information -- Conclusion -- Fifteen Statistical Concepts You Need for Life after the Statistics Final Exam -- Appendix A: Tables -- Credits -- Index.