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Schaum's Business Statistics Crash Course by L. J. Kazmier
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**About this book :- **

**Schaum's Business Statistics Crash Course ** written by
** L. J. Kazmier **

Statistics refers to the body of techniques used for collecting, organizing, analyzing, and interpreting data. The data may be quantitative, with values expressed numerically, or they may be qualitative, with characteristics such as consumer preferences being tabulated. Statistics are used in business to help make better decisions by understanding the sources of variation and by uncovering patterns and relationships in business data.

**Book Detail :- **
** Title: ** Schaum's Business Statistics Crash Course
** Edition: **
** Author(s): ** L. J. Kazmier
** Publisher: ** McGraw-Hill
** Series: ** Schaum's Easy Outlines Series
** Year: ** 2003
** Pages: ** 189
** Type: ** PDF
** Language: ** English
** ISBN: ** 0-07-142584-5,0-07-139876-7
** Country: ** US

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**About Author :- **

The author L. J. Kazmier is a PHD and Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.

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**Book Contents :- **
**Schaum's Business Statistics Crash Course ** written by
** L. J. Kazmier **
cover the following topics.
'

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 Poisson

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 the 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. Decision Analysis: Payoff Tables and Decision Trees

18. Statistical Process Control

Appendices

Index

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