Donnelly’s Business Statistics (2nd Edition)

Download Donnelly’s Business Statistics (2nd Edition) written by Robert A. Donnelly in PDF format. This book is under the category Business and bearing the isbn/isbn13 number 321925122/9780321925121. You may reffer the table below for additional details of the book.

$19.99

SKU: 209b86f4a902 Category: Tag:

Specifications

book-author

Robert A. Donnelly

publisher

Pearson; 2nd edition

file-type

PDF

pages

992 pages

language

English

asin

B00HNZ4O84

isbn10

321925122

isbn13

9780321925121


Book Description

Learning statistics for business is no longer intimidating thanks to Robert Donnelly’s Business Statistics, now in its second edition (PDF), which was written by an industry expert and best-selling book. The methodology that has made Donnelly’s first edition so successful—a basic, conversational style that explains each and every idea and why it is relevant to business students directly—has been carried over into the second edition. Students are provided with a wealth of comments that elucidate particular concepts, a variety of applications, and Your Turn practice questions throughout each chapter. As a result, they are able to observe real-world uses of business statistics in the classroom as well as in the wider world.

Please be aware that you are purchasing a separate product; the content you seek does not come pre-installed with MyStatLab. You should look for the following ISBN number: 0133865002 if you would like to purchase both the physical text and MyStatLab:

/ISBN-13: 9780133865004. This collection comes with the following ISBNs: ISBN-10: 032192147X; ISBN-13: 9780321921475; ISBN-10: 0321925122; ISBN-13: 9780321925121; and ISBN-10: 031929713; ISBN-13: 9780321929716.

 

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

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