MyLab Statistics with Pearson eText -- Access Card -- for Statistics for Business and Economics (18 weeks)

For courses in Introduction to Business Statistics. 

This ISBN is for the 18-week MyLab access card. Pearson eText is included. 

Real data. Real decisions. Real business. 

Statistics for Business and Economics by McClave, Benson, and Sincich introduces statistics in the context of contemporary business. Inference is emphasized, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good decisions. The authors apply concepts with real data. Technology is used to help students develop statistical thinking and understand the assessment of credibility and the value of the inferences made from data—both by those who consume and by those who produce them. The 14th Edition continues to highlight the discussion of ethical, data driven decision making and offers substantial updates to the accompanying MyLab^® Statistics course.

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Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also a Courtesy Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for over 20 years. 

Dr. Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is a Professor Emeritus of the Information Systems & Decision Sciences Department at the University of South Florida in Tampa, where he was responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis. 

1. Statistics, Data, and Statistical Thinking

2. Methods for Describing Sets of Data

3. Probability

4. Random Variables and Probability Distributions

5. Sampling Distributions

6. Inferences Based on a Single Sample: Estimation with Confidence Intervals

7. Inferences Based on a Single Sample: Tests of Hypotheses

8. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

9. Design of Experiments and Analysis of Variance

10. Categorical Data Analysis

11. Simple Linear Regression

12. Multiple Regression and Model Building

13. Methods for Quality Improvement: Statistical Process Control (Available Online)

14. Time Series: Descriptive Analyses, Models, and Forecasting (Available Online)

15. Nonparametric Statistics (Available Online)

Appendix A: Summation Notation

Appendix B: Basic Counting Rules

Appendix C: Calculation Formulas for Analysis of Variance

C.1 Formulas for the Calculations in the Completely Randomized Design

C.2 Formulas for the Calculations in the Randomized Block Design

C.3 Formulas for the Calculations for a Two-Factor Factorial Experiment

C.4 Tukey’s Multiple Comparisons Procedure (Equal Sample Sizes)

C.5 Bonferroni Multiple Comparisons Procedure (Pairwise Comparisons)

C.6 Scheffé’s Multiple Comparisons Procedure (Pairwise Comparisons)

Appendix D: Tables
 

Answers to Selected Exercises

Index

Credits 

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