Basic Business Statistics: Concepts and Applications
Author: Mark L Berenson
Berenson shows students how statistics is use in each functional area of business. This edition features statistics in real-business scenarios, web cases, data analysis and interpretation of software results, case studies and team projects, as well as visual explorations of statistical concepts. This book is intended for undergraduate and graduate students taking courses in statistics.
Booknews
Using case studies and chapter review problems, the authors attempt to make statistics and its business applications with Microsoft Excel software as painless as possible. After making the case for what's in it for productivity and quality-minded managers, they ease into Excel functions for analyzing and presenting data, hypothesis testing, regression, and time-series analysis. Appends a math and algebra review, summation notation, standard statistical tables and symbols, special data sets for team projects, and documentation for the CD-ROM files. Indexed by book subjects and Microsoft Excel features. The CD-ROM includes the PHStat statistics add-in for Excel for use in business statistics courses. Annotation c. by Book News, Inc., Portland, Or.
Table of Contents:
| Ch. 1 | Introduction and Data Collection | 1 |
| Supplement: Using Microsoft Excel for Statistical Analysis | 29 | |
| Ch. 2 | Presenting Data in Tables and Charts | 63 |
| Ch. 3 | Summarizing and Describing Numerical Data | 151 |
| Ch. 4 | Basic Probability and Discrete Probability Distributions | 209 |
| Ch. 5 | Decision Making | 289 |
| Ch. 6 | The Normal Distribution and Sampling Distributions | 329 |
| Ch. 7 | Confidence Interval Estimation | 413 |
| Ch. 8 | Fundamentals of Hypothesis Testing: One-Sample Tests | 479 |
| Ch. 9 | Two-Sample Tests with Numerical Data | 537 |
| Ch. 10 | ANOVA and Other c-Sample Tests with Numerical Data | 603 |
| Ch. 11 | Two-Sample and c-Sample Tests with Categorical Data | 669 |
| Ch. 12 | Statistical Applications in Quality and Productivity Management | 721 |
| Ch. 13 | Simple Linear Regression and Correlation | 771 |
| Ch. 14 | Multiple Regression Models | 853 |
| Ch. 15 | Time-Series Analysis | 935 |
| Answers to Selected Problems | 1025 | |
| App. A | Review of Arithmetic and Algebra | |
| App. B | Summation Notation | |
| App. C | Statistical Symbols and Greek Alphabet | |
| App. D Special Data Set | ||
| App. E Tables | ||
| App. F Documentation for CD-ROM Files | ||
| Index | ||
| Excel Index |
Look this: Real Estate Finance Investments or Organization Theory and Design
Fundamentals of Math and Physics for Game Programmers
Author: Wendy Stahler
Fundamentals of Math and Physics for Game Programmers teaches the fundamental math and physics concepts, principles, and formulas that are crucial for developing successful games. Covers topics such as trigonometry snippets, vector and matrix operations, transformations, momentum and collisions, and 1D/2D/3D motion. Concepts are taught in a step-by-step format in order to improve the level of game development. Includes case studies and hands-on projects allowing students to experience the application of essential concepts. End-or-chapter review exercises are provided for additional content reinforcement
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