Business Statistics / Edition 4

Business Statistics / Edition 4

by Leonard Kazmier
     
 

ISBN-10: 0071635270

ISBN-13: 9780071635271

Pub. Date: 08/25/2009

Publisher: McGraw-Hill Professional Publishing

Confused by business statistics? Problem solved.

Schaum's Outline of Business Statistics helps you understand basic concepts and offers extra practice on topics you'll encounter in your introductory- and intermediate-level courses. With this book, you'll understand and master the basic methods of statistical description, statistical inference,

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Overview

Confused by business statistics? Problem solved.

Schaum's Outline of Business Statistics helps you understand basic concepts and offers extra practice on topics you'll encounter in your introductory- and intermediate-level courses. With this book, you'll understand and master the basic methods of statistical description, statistical inference, decision analysis, and process control. You will also learn about frequency distributions, histograms and frequency polygons, frequency curves, sampling distribution of the mean, and more.

Product Details

ISBN-13:
9780071635271
Publisher:
McGraw-Hill Professional Publishing
Publication date:
08/25/2009
Series:
Schaum's Outline Series
Pages:
432
Sales rank:
247,033
Product dimensions:
8.10(w) x 10.70(h) x 0.90(d)

Related Subjects

Table of Contents


Schaum's Outline of Business Statistics, 4ed

1. Analyzing Business Data

2. Statistical Presentations and Graphical Displays
3. Describing Business Data: Measures of Location

4. Describing Business Data: Measures of Dispersion
5. Probability

6. Probability Distributions for Discrete Random Variables: Binomial, Hypergeometric, and Poission

7. Probability Distributions for Continuous Random Variables: Normal and Exponential

8. Sampling Distributions and Confidence Intervals for the Mean

9. Other Confidence Intervals

10. Testing Hypotheses Concerning the Value of a Population Mean

11. Testing Other Hypotheses

12. The Chi-Square Test for the Analysis of Qualitative Data

13. Analysis of Variance

14. Linear Regression and Correlation Analysis

15. Multiple Regression and Correlation

16. Time Series Analysis and Business Forecasting

17. Nonparametric Statistics

18. Decision Analysis: Payoff Tables and Decision Trees

19. Statistical Process Control

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