Business statistics

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
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