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schaum's business statistics crash course [pdf]

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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