schaum's outline business statistics 4e [pdf]
Schaum's Business Statistics (4E) by Leonard Kazmier
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About this book :-
Schaum's Business Statistics (4E) written by
This book helps us to 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.
Book Detail :-
Title: Schaum's Business Statistics
Edition: Fourth Edition
Author(s): Leonard Kazmier
Series: Schaum's Outlines Series
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About Author :-
The author Leonard 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
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. Non Parametric Statistics
18. Decision Analysis: Payoff Tables and Decision Trees
19. Statistical Process Control
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