## Specifications

book-author | Robert A. Donnelly |
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publisher | Pearson; 2nd edition |
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file-type | PDF |
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pages | 992 pages |
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language | English |
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asin | B00HNZ4O84 |
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isbn10 | 321925122 |
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isbn13 | 9780321925121 |
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## Book Description

Expert and best-selling author *Robert Donnelly’s ***Business Statistics 2nd edition** (PDF)eliminates the intimidation factor from learning statistics for business. The **2nd Edition** maintains Donnelly’s successful straightforward; conversational approach that explains each and every concept and why it is important directly to business students. Through an abundance of comments that clarify specific topics; a variety of applications; and Your Turn practice throughout every chapter; students see real business statistics in action–both in the classroom and in the world around them.

Note: You are purchasing a standalone product; MyStatLab does not come packaged with this content. If you would like to purchase both the physical text and MyStatLab; search for ISBN-10: 0133865002

/ISBN-13: 9780133865004. That package includes ISBN-10: 032192147X/ISBN-13: 9780321921475 and ISBN-10: 0321925122/ISBN-13: 9780321925121 and ISBN-10: 0321929713/ISBN-13: 9780321929716

NOTE:

## Table of contents

Table of contents :

Cover

Title Page

Copyright Page

ABOUT THE Author

Supplements

Table of Contents

Preface

Acknowledgments

Dear Students

Index of Applications

A

B

C

D

E

F

G

H

L

M

P

S

T

1 An Introduction to Business Statistics

1.1 Business Statistics and Their Uses

1.2 Data

1.3 Descriptive and Inferential Statistics

1.4 Ethics and Statistics—It’s a Dangerous World of Data Out There

Summary

Key Terms

Problems

Solutions to YOUR TURN

2 Displaying Descriptive Statistics

2.1 The Role Technology Plays in Statistics

2.2 Displaying Quantitative Data

2.3 Displaying Qualitative Data

2.4 Contingency Tables

2.5 Stem and Leaf Display

2.6 Scatter Plots

Summary

Key Terms

Problems

Solutions to YOUR TURN

3 Calculating Descriptive Statistics

3.1 Measures of Central Tendency

3.2 Measures of Variability

3.3 Using the Mean and Standard Deviation Together

3.4 Working with Grouped Data

3.5 Measures of Relative Position

3.6 Measures of Association Between Two Variables

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

4 Introduction to Probabilities

4.1 An Introduction to Probabilities

4.2 Probability Rules for More Than One Event

4.3 Counting Principles

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

5 Discrete Probability Distributions

5.1 Introduction to Discrete Probability Distributions

5.2 Binomial Distributions

5.3 Poisson Distributions

5.4 The Hypergeometric Distribution

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

6 Continuous Probability Distributions

6.1 Continuous Random Variables

6.2 Normal Probability Distributions

6.3 Exponential Probability Distributions

6.4 Uniform Probability Distributions

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

7 Sampling and Sampling Distributions

7.1 Why Sample?

7.2 Types of Sampling

7.3 Sampling and Nonsampling Errors

7.4 The Central Limit Theorem

7.5 The Sampling Distribution of the Proportion

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

8 Confidence Intervals

8.1 Point Estimates

8.2 Calculating Confidence Intervals for the Mean when the Standard Deviation (σ) of a Population Is Known

8.3 Calculating Confidence Intervals for the Mean when the Standard Deviation (σ) of a Population Is Unknown

8.4 Calculating Confidence Intervals for Proportions

8.5 Determining the Sample Size

8.6 Calculating Confidence Intervals for Finite Populations

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

9 Hypothesis Testing for a Single Population

9.1 An Introduction to Hypothesis Testing

9.2 Hypothesis Testing for the Population Mean When σ Is Known

9.3 Hypothesis Testing for the Population Mean when σ Is Unknown

9.4 Hypothesis Testing for the Proportion of a Population

9.5 Type II Errors

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

10 Hypothesis Tests Comparing Two Populations

10.1 Comparing Two Population Means with

Independent Samples

Known Population Standard Deviations (σ[sub(1)] and ((σ[sub(2)])

10.2 Comparing Two Population Means with

Independent Samples

Unknown Population Standard Deviations ((σ[sub(1)] and (σ[sub(2)])

10.3 Hypothesis Testing With Dependent Samples

10.4 Comparing Two Population Proportions with Independent Samples

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

11 Analysis of Variance (ANOVA) Procedures

11.1 One-Way ANOVA: Examining the Effect a Single Factor Has on theEffect a Single Factor Has on the Means of Populations

11.2 Randomized Block ANOVA: Examining the Effects of a Single Factor by Blocking a Second Factor

11.3 Two-Way ANOVA: Examining the Effects Two Factors Have on the Means of Populations

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

12 Chi-Square Tests

12.1 Comparing Two or More Population Proportions

12.2 Determining If Observed Frequencies Follow a Known Probability Distribution

12.3 Testing the Independence of Two Variables

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

13 Hypothesis Tests for the Population Variance

13.1 Testing the Variance of a Single Population

13.2 Comparing the Variances of Two Populations

Summary

Equations

Problems

Solutions to YOUR TURN

14 Correlation and Simple Linear Regression

14.1 Dependent and Independent Variables

14.2 Correlation Analysis

14.3 Simple Linear Regression Analysis

14.4 Using a Regression to Make a Prediction

14.5 Testing the Significance of the Slope of the Regression Equation

14.6 Assumptions for Regression Analysis

14.7 A Simple Regression Example with a Negative Correlation

14.8 Some Final (but Very Important) Thoughts

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

15 Multiple Regression and Model Building

15.1 Developing the Multiple Regression Model

15.2 Explaining the Variation of the Dependent Variable

15.3 Inferences about the Independent Variables

15.4 Using Qualitative Independent Variables

15.5 Model Building

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

16 Forecasting

16.1 Introduction to Forecasting

16.2 Smoothing Forecasting Methods

16.3 Forecasting with Regression Analysis

16.4 Forecasting with Seasonality

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

17 Decision Analysis (online)

17.1 Introduction to Decision Analysis

17.2 Constructing a Decision Table

17.3 Decision Making Under Uncertainty

17.4 Decision Making Under Risk

17.5 Decision Making Using Decision Trees

17.6 Using Bayes’ Theorem to Calculate Posterior Probabilities

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

18 Nonparametric Statistics (online)

18.1 Introduction to Nonparametric Statistics

18.2 The Sign Test

18.3 The Wilcoxon Rank-Sum Test for Two Independent Samples

18.4 The Wilcoxon Signed-Rank Test for Two Dependent Samples

18.5 The Kruskal-Wallis One-Way ANOVA

18.6 The Spearman Rank-Order Correlation Coefficient

Appendix C: Tables for Chapter

Summary

Key Terms

Equations

Problems

Solutions to YOUR TURN

Appendix A

Table 1 Binomial Probabilities

Table 2 Poisson Probabilities

Table 3 Cumulative Probabilities for the Standard Normal Distribution

Table 4 Cumulative Probabilities for the Standard Normal Distribution

Table 5 Student’s t-distribution

Table 6 F-distribution

Table 7 Critical Values of the Studentized Range, Q

Table 8 Chi–Square Distribution

Table 9 Critical Values for the Durbin-Watson Statistic

Appendix B: Answers to Selected Even-Numbered Problems

Credits

Index

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

Y

Z