Statistics for Managers Using Excel and Student CD Package
United States Edition
5th Edition
Published on 17. May 2007
Book
Mixed media product
858 pages
978-0-13-614990-3 (ISBN)
Description
For the one or two-semester course in Business Statistics at the undergraduate or graduate level.
Reducing the emphasis on doing computations, this practical text thoroughly integrates Microsoft Excel as a tool for analysis and presents statistical concepts in the context of the functional areas of business.
Reducing the emphasis on doing computations, this practical text thoroughly integrates Microsoft Excel as a tool for analysis and presents statistical concepts in the context of the functional areas of business.
More details
Edition
5th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Width: 284 mm
Thickness: 36 mm
Weight
2064 gr
ISBN-13
978-0-13-614990-3 (9780136149903)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
David M. Levine | Mark L. Berenson | Timothy C. Krehbiel
Statistics for Managers using MS Excel
Book
04/2010
6th Edition
Pearson
€185.69
Article exhausted; check for reprint
Previous edition
David M. Levine | Mark L. Berenson | David F. Stephan
Statistics for Managers Using Microsoft Excel and Student CD Package
United States Edition
Book
02/2004
4th Edition
Pearson
€63.28
Article exhausted; check for reprint
Content
Preface
1 Introduction and Data Collection
2 Presenting Data in Tables and Charts
3 Numerical Descriptive Measures
4 Basic Probability
5 Some Important Discrete Probability Distributions
6 The Normal Distribution and Other Continuous Distributions
7 Sampling and 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 Tests and Nonparametric Tests
13 Simple Linear Regression
14 Introduction to Multiple Regression
15 Multiple Regression Model Building
16 Time-Series Forecasting and Index Numbers
17 Decision Making
18 Statistical Applications in Quality Management
Appendices
A. Review of Arithmetic, Algebra, and Logarithms
B. Summation Notation
C. Statistical Symbols and Greek Alphabet
D. CD-ROM Contents
E. Tables
F. Configuring Microsoft Excel and Installing PHStat
Self-Test Solutions and Answers to Selected Even-Numbered Problems
Index
CD-ROM Topics
4.5 Counting Rules
5.6 Using the Poisson Distribution to Approximate the Binomial Distribution
6.6 The Normal Approximation to the Binomial Distribution
7.6 Sampling from Finite Populations
8.7 Estimation and Sample Size Determination for Finite Populations
9.7 The Power of a Test
11.3 The Randomized Block Design
12.7 Chi-Square Test for a Variance or Standard Deviation
1 Introduction and Data Collection
2 Presenting Data in Tables and Charts
3 Numerical Descriptive Measures
4 Basic Probability
5 Some Important Discrete Probability Distributions
6 The Normal Distribution and Other Continuous Distributions
7 Sampling and 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 Tests and Nonparametric Tests
13 Simple Linear Regression
14 Introduction to Multiple Regression
15 Multiple Regression Model Building
16 Time-Series Forecasting and Index Numbers
17 Decision Making
18 Statistical Applications in Quality Management
Appendices
A. Review of Arithmetic, Algebra, and Logarithms
B. Summation Notation
C. Statistical Symbols and Greek Alphabet
D. CD-ROM Contents
E. Tables
F. Configuring Microsoft Excel and Installing PHStat
Self-Test Solutions and Answers to Selected Even-Numbered Problems
Index
CD-ROM Topics
4.5 Counting Rules
5.6 Using the Poisson Distribution to Approximate the Binomial Distribution
6.6 The Normal Approximation to the Binomial Distribution
7.6 Sampling from Finite Populations
8.7 Estimation and Sample Size Determination for Finite Populations
9.7 The Power of a Test
11.3 The Randomized Block Design
12.7 Chi-Square Test for a Variance or Standard Deviation