Business Statistics Using Excel / Edition 2

Business Statistics Using Excel / Edition 2

by Glyn Davis, Branko Pecar
     
 


Offering a comprehensive, "step-by-step" approach to the subject, Business Statistics Using Excel, Second Edition, gives students the tools and skills they need to succeed in their coursework.

FEATURES
- "Techniques in Practice" exercises at the end of each chapter encourage self-assessment
- Excel screenshots provide clear and

See more details below

Overview


Offering a comprehensive, "step-by-step" approach to the subject, Business Statistics Using Excel, Second Edition, gives students the tools and skills they need to succeed in their coursework.

FEATURES
- "Techniques in Practice" exercises at the end of each chapter encourage self-assessment
- Excel screenshots provide clear and helpful examples that illustrate how to apply Excel skills to business statistics
- Full integration of Excel exercises and applications--both in the textbook and on the Companion Website--enable both classroom-led learning or self-directed study

The accompanying Companion Website offers a variety of features:

For students:
- Introduction to Microsoft Excel 2010
- Self-test multiple-choice questions
- Data from the exercises in the book
- Links to key websites
- Online glossary
- Revision tips
- Visual walk-throughs
- Numerical-skills workbook: New to the second edition, this online refresher course covering basic math and Microsoft Excel helps reinforce students' confidence in their mathematical ability

For instructors:
- Instructor's Manual containing a guide to structuring lectures and worked-out answers to exercises in the book
- PowerPoint slides
- A Testbank with thirty questions per chapter

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Product Details

ISBN-13:
9780199659517
Publisher:
Oxford University Press
Publication date:
05/10/2013
Edition description:
New Edition
Pages:
620
Product dimensions:
9.60(w) x 7.40(h) x 0.80(d)

Table of Contents

1. Visualizing and Presenting Data
2. Data Descriptors
3. Introduction to Probability
4. Probability Distributions
5. Sampling Distributions and Estimating
6. Introduction to Parametric Hypothesis Testing
7. Chi-Square and Non-Parametric Hypothesis Testing
8. Linear Correlation and Regression Analysis
9. Time Series Data and Analysis
1. Visualising and Presenting Data
2. Data Descriptors
3. Introduction to Probability
4. Probability Distributions
5. Sampling Distributions and Estimating
6. Introduction to Parametric Hypothesis Testing
7. Chi-Square and Non-Parametric Hypothesis Testing
8. Linear Correlation and Regression Analysis
9. Time Series Data and Analysis

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