Statistics for managers using Microsoft Exce l/ David M. Levine, David F. Stephan, Kathryn A. Szabat
Author(s)
Bibliographic Information
Statistics for managers using Microsoft Exce l/ David M. Levine, David F. Stephan, Kathryn A. Szabat
Pearson Education Limited, c2017
8th ed., Global ed
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"Pearson international edition" -- Back cover
Includes index
Description and Table of Contents
Description
For undergraduate business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel(R) in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. MyStatLab(TM) not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
MyStatLab from Pearson is the world's leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed.
Table of Contents
1. Defining and Collecting Data
2. Organizing and Visualizing Variables
3. Numerical Descriptive Measures
4. Basic Probability
5. Discrete Probability Distributions
6. The Normal Distribution and Other Continuous Distributions
7. Sampling Distributions
8. Confidence Interval Estimation
9. Fundamentals of Hypothesis Testing: One-Sample Tests
10. Two-Sample Tests
11. Analysis of Variance
12. Chi-Square and Nonparametric Tests
13. Simple Linear Regression
14. Introduction to Multiple Regression
15. Multiple Regression Model Building
16. Time-Series Forecasting
17. Getting Ready to Analyze Data in the Future
Appendices
A. Basic Math Concepts and Symbols
B. Important Excel and Minitab Skills and Concepts
C. Online Resources
D. Configuring Microsoft Excel
E. Tables
F. Useful Excel Knowledge
G. Software FAQs
Self-Test Solutions and Answers to Selected Even-Numbered Problems
Index
by "Nielsen BookData"