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The new edition of Business Statistics in Practice provides a modern, practical, and unique framework for teaching the first course in business statistics.
This framework features case study and example-driven discussions of all basic business statistics topics.
In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles.
The only prerequisite for this text is high school algebra.
| An Introduction to Business Statistics | |
| Descriptive Statistics: Tabular and Graphical Methods | |
| Descriptive Statistics: Numerical Methods | |
| Probability | |
| Discrete Random Variables | |
| Continuous Random Variables | |
| Sampling Distributions | |
| Confidence Intervals | |
| Hypothesis Testing | |
| Statistical Inferences Based on Two S... MORE | |
| Experimental Design and Analysis of Variance | |
| Chi-Square Tests | |
| Simple Linear Regression Analysis | |
| Multiple Regression | |
| Model Building and Model Diagnostics | |
| Time Series Forecasting | |
| Process Improvement Using Control Charts | |
| Nonparametric Methods | |
| Decision Theory | |
| Statistical Tables | |
| Counting Rules | |
| Hypergeometric Distribution | |
| Properties of the Mean and the Variance of a Random Variable, and the Covariance | |
| Derivations of the Mean and Variance of x(bar) and p(hat | |
| Table of Contents provided by Publisher. All Rights Reserved. |