Chapter 1: The Where, Why, and How of Data CollectionSection 1.1:
What is Business Statistics?
Section 1.2:
Procedures for Collecting Data
Section 1.3:
Populations, Samples, and Sampling Techniques
Section 1.4:
Data Types and Data Management Levels
Page 27:
Chapter ExercisesExercise 6
Exercise 9
Exercise 10
Chapter 2: Graphs, Charts, and Tables-Describing Your DataSection 2.1:
Frequency Distributions and Histograms
Section 2.2:
Bar Charts, Pie Charts , and Stem and Leaf Diagrams
Section 2.3:
Line Charts, Scatter Diagrams, and Pareto Charts
Page 69:
Chapter Exercises
Page 71:
CaseExercise 16
Exercise 17
Exercise 18
Exercise 19
Exercise 20
Exercise 21
Exercise 22
Chapter 3: Describing Data Using Numerical MeasuresSection 3.1:
Measures of Center and Location
Section 3.2:
Measures of Variation
Section 3.3:
Using the Mean and Standard Deviation Together
Page 116:
Chapter Exercises
Page 120:
CasePage 125:
Exercises SRPage 126:
Review CaseExercise 18
Exercise 19
Exercise 20
Exercise 21
Exercise 22
Exercise 23
Exercise 24
Chapter 4: Introduction to ProbabilitySection 4.1:
The Basics of Probability
Section 4.2:
The Rules of Probability
Page 166:
Chapter Exercises
Page 169:
CaseExercise 4
Exercise 6
Exercise 12
Exercise 13
Exercise 16
Exercise 18
Exercise 21
Exercise 22
Exercise 23
Exercise 24
Exercise 25
Chapter 5: Discrete Probability DistributionsSection 5.1:
Introduction to Discrete Probability Distributions
Section 5.2:
The Binomial Probability Distributions
Section 5.3:
Other Probability Distributions
Page 206:
Chapter Exercises
Page 209:
CaseExercise 2
Exercise 16
Exercise 17
Exercise 18
Exercise 19
Exercise 20
Exercise 21
Chapter 6: Introduction to Continuous Probability DistributionsSection 6.1:
The Normal Probability Distributions
Section 6.2:
Other Continuous Probability Distributions
Page 234:
Chapter Exercises
Page 237:
CaseExercise 29
Exercise 30
Exercise 31
Chapter 7: Introduction to Sampling DistributionsSection 7.1:
Sampling Error: What It Is and Why It Happens
Section 7.2:
Sampling Distributions of the Mean
Section 7.3:
Sampling Distributions of a Proportion
Page 272:
Chapter Exercises
Page 275:
CaseExercise 7
Exercise 12
Exercise 16
Exercise 17
Exercise 18
Exercise 19
Exercise 20
Exercise 21
Chapter 8: Estimating Single Population ParametersSection 8.1:
Point and Confidence Interval Estimates for a Population Mean
Section 8.2:
Determining the Required Sample Size for Estimating a Population Mean
Section 8.3:
Estimating a Population Proportion
Page 311:
Chapter Exercises
Page 314:
CaseExercise 12
Exercise 21
Exercise 22
Exercise 23
Exercise 24
Exercise 25
Exercise 26
Chapter 9: Introduction to Hypothesis TestingSection 9.1:
Hypothesis Tests for Means
Section 9.2:
Hypothesis Tests for a Proportion
Section 9.3:
Type II ErrorsPage 357:
Chapter ExercisesPage 361:
CaseExercise 4
Exercise 14
Exercise 16
Exercise 18
Exercise 19
Exercise 20
Exercise 21
Exercise 22
Chapter 10: Estimation and Hypothesis Testing for Two Population ParametersSection 10.1:
Estimation for Two Population Means Using Independent Samples
Section 10.2:
Hypothesis Tests for Two Population Means Using Independent Samples
Section 10.3:
Interval Estimation and Hypothesis Tests for Paired Samples
Section 10.4:
Estimation and Hypothesis Tests for Two Population Proportions
Page 404:
Chapter Exercises
Page 407:
CaseExercise 14
Exercise 15
Exercise 16
Exercise 17
Chapter 11: Hypothesis Tests and Estimation for Population VariancesSection 11.1:
Hypothesis Tests and Estimation for a Single Population Variance
Section 11.2:
Hypothesis Tests for Two Population Variance
Page 430:
Chapter Exercises
Page 432:
CaseExercise 8
Exercise 16
Exercise 17
Exercise 18
Chapter 12: Analysis of VarianceSection 12.1:
One-Way Analysis of Variance
Section 12.2:
Randomized Complete Block Analysis of Variance
Section 12.3:
Two-factor Analysis of Variance With Replication
Page 475:
Chapter Exercises
Page 478:
CasePage 494:
Exercises SRExercise 8
Exercise 14
Exercise 16
Exercise 17
Chapter 13: Goodness-of-Fit Tests and Contingency AnalysisSection 13.1:
Introduction to Goodness-of-Fit Tests
Section 13.2:
Introduction to Contingency Analysis
Page 522:
Chapter Exercises
Page 524:
CaseExercise 9
Exercise 11
Exercise 12
Exercise 13
Exercise 14
Exercise 15
Chapter 14: Introduction to Linear Regression and Correlation AnalysisSection 14.1:
Scatter Plots and Correlation
Section 14.2:
Simple Linear Regression Analysis
Section 14.3:
Uses for Regression Analysis
Page 567:
Chapter Exercises
Page 570:
CasesExercise 13
Exercise 14
Exercise 15
Exercise 16
Chapter 15: Multiple Regression Analysis and Model BuildingSection 15.1:
Introduction to Multiple Regression Analysis
Section 15.2:
Using Qualitative Independent VariablesSection 15.3:
Working with Nonlinear RelationshipSection 15.4:
Stepwise RegressionSection 15.5:
Determining the Aptness of the ModelPage 630:
Chapter ExercisesPage 632:
CaseExercise 1
Exercise 4
Exercise 7
Exercise 8
Exercise 9
Exercise 10
Exercise 11
Chapter 16: Analyzing and Forecasting Time-Series DataSection 16.1:
Introduction to Forecasting and Time-Series Data
Section 16.2:
Trend-Based Forecasting TechniquesSection 16.3:
Forecasting Using Smoothing MethodsPage 682:
Chapter ExercisesPage 685:
CaseExercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6
Exercise 7
Exercise 12
Exercise 13
Exercise 14
Chapter 17: Introduction to Nonparametric StatisticsSection 17.1:
The Wilcoxon Signed Rank Test for One Population Median
Section 17.2:
Nonparametric Tests for Two Population Medians
Section 17.3:
Kruskal-Wallis One-Way Analysis of Variance
Page 714:
Chapter Exercises
Page 717:
CaseExercise 1
Exercise 10
Exercise 11
Chapter 18: Introducing Business AnalyticsCOMING SOON
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