(eBook PDF) Business Statistics: A Decision Making Approach 10th Edition

(eBook PDF) Business Statistics: A Decision Making Approach 10th Edition – Digital Ebook – Instant Delivery Download

Product Details:

• ISBN-10 ‏ : ‎ 9780134496498
• ISBN-13 ‏ : ‎ 978-0134496498
• Author:  David Groebner, Patrick Shannon, Phillip Fry 

Business Statistics: A Decision Making Approachprovides you with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and gives you a resource that can be used in both their academic and professional careers.

Table of contents:

1. The Where, Why, and How of Data Collection
2. Graphs, Charts, and Tables–Describing Your Data
3. Describing Data Using Numerical Measures
4. Introduction to Probability
5. Discrete Probability Distributions
6. Introduction to Continuous Probability Distributions
7. Introduction to Sampling Distributions
8. Estimating Single Population Parameters
9. Introduction to Hypothesis Testing
10. Estimation and Hypothesis Testing for Two Population Parameters
11. Hypothesis Tests and Estimation for Population Variances
12. Analysis of Variance
13. Goodness-of-Fit Tests and Contingency Analysis
14. Introduction to Linear Regression and Correlation Analysis
15. Multiple Regression Analysis and Model Building
16. Analyzing and Forecasting Time-Series Data
17. Introduction to Nonparametric Statistics
18. Introducing Business Analytics
19. (Online Only) Introduction to Decision Analysis
20. (Online Only) Introduction to Quality and Statistical Process Control

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