Basic Business Statistics by Mark L. BerensonBasic Business Statistics by Mark L. Berenson

Basic Business Statistics

byMark L. Berenson, David M. Levine, Timothy C. Krehbiel...

Hardcover | March 6, 2008

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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. 

Title:Basic Business StatisticsFormat:HardcoverDimensions:936 pages, 11.18 × 8.68 × 1.72 inPublished:March 6, 2008Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0136032605

ISBN - 13:9780136032601

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Table of Contents


1      Introduction and Data Collection

2      Presenting Data in Tables and Charts

3      Numerical Descriptive Measures 

4      Basic Probability 

5      Some Important Discrete Probability Distributions 

6      The Normal Distribution and Other Continuous Distributions 

7      Sampling Distributions and Sampling 

8      Confidence Interval Estimation 

9      Fundamentals of Hypothesis Testing: One-Sample Tests 

10    Two-Sample Tests 

11    Analysis of Variance 

12    Chi-Square Tests and Nonparametric Tests 

13    Simple Linear Regression 

14    Introduction to Multiple Regression 

15    Multiple Regression Model Building 

16    Time-Series Forecasting and Index Numbers 

17    Decision Making

18    Statistical Applications in Quality Management 

Appendices A—F 

Self-Test Solutions and Answers to Selected Even-Numbered Problems 


Student CD-ROM Topics

5.6 Using the Poisson Distribution to Approximate the Binomial Distribution CD5-1

7.6 Sampling from Finite Populations CD7-1

8.7 Estimation and Sample Size Determination for Finite Populations CD8-1

12.10 Chi-Square Goodness of Fit Tests

15.6 Influence Analysis

16.9 The Holt-Winters Method for Trend-Fitting and Forecasting