Essentials of Statistics for Business and Economics (9th Edition)

Download Essentials of Statistics for Business and Economics (9th Edition) written by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran in PDF format. This book is under the category Business and bearing the isbn/isbn13 number 0357045432; 0357118197; 0357391330/9780357045435/ 9780357118191/ 9780357391334. You may reffer the table below for additional details of the book.


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David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran


Cengage Learning; 9th edition








0357045432; 0357118197; 0357391330


9780357045435/ 9780357118191/ 9780357391334

Book Description

Discover how statistical data influences selections in right this moment’s enterprise world as Anderson/Williams/Camm/Sweeney/Cochran/Fry/Ohlmann’s prominent Essentials of Statistics for Business and Economics; 9th Edition; (PDF) associates ideas in every chapter to actual-world follow. This model delivers sound statistical methodology; a confirmed drawback-situation method; and significant purposes that reveal the most recent developments in statistics and enterprise right this moment. Above 350 new and confirmed actual enterprise examples; a wealth of sensible instances; and important arms-on workout routines spotlight statistics in motion. You get to follow utilizing main skilled statistical software program with appendices and workout routines that stroll you thru utilizing Excel 2016 and JMP Student Edition 14. WebAssign’s on-line course administration methods can be found individually to spice up this enterprise statistics method and assist you to maximize your course success.

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NOTE: The product solely contains Essentials of Statistics for Business and Economics; ninth Edition; in PDF. No access codes are included.



Table of contents

Table of contents :
Brief Contents
About the Authors
1 Data and Statistics
2 Descriptive Statistics: Tabular and Graphical Displays
3 Descriptive Statistics: Numerical Measures
4 Introduction to Probability
5 Discrete Probability Distributions
6 Continuous Probability Distributions
7 Sampling and Sampling Distributions
8 Interval Estimation
9 Hypothesis Tests
10 Inference About Means and Proportions with Two Populations
11 Inferences About Population Variances
12 Comparing Multiple Proportions, Test of Independence and Goodness of Fit
13 Experimental Design and Analysis of Variance
14 Simple Linear Regression
15 Multiple Regression
Appendix A: References and Bibliography
Appendix B: Tables
Appendix C: Summation Notation
Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis
Appendix F: Computing p-Values with JMP and Excel


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