Chapter 1: The Nature of Probability and StatisticsSection 1.1:
Descriptive and Inferential Statistics
Section 1.2:
Variables and Types of Data
Section 1.3:
Data Collection and Sampling Techniques
Section 1.4:
Experimental Design
Page 34:
Review Exercises
Page 36:
Chapter Quiz
Page 37:
Critical Thinking Challenges
Page 39:
Data Projects
Page 5:
Exercises
Page 5:
Applying the Concepts
Chapter 2: Frequency Distributions and GraphsSection 2.1:
Organizing Data
Section 2.2:
Histograms, Frequency Polygons, and Ogives
Section 2.3:
Other Types of Graphs
Page 101:
Review Exercises
Page 104:
Data Analysis
Page 105:
Chapter Quiz
Page 107:
Critical Thinking Challenges
Page 107:
Data Projects
Page 51:
Applying the Concepts
Page 51:
Exercises
Chapter 3: Data DescriptionSection 3.1:
Measures of Central Tendency
Section 3.2:
Measures of Variation
Section 3.3:
Measures of Position
Section 3.4:
Exploratory Data Analysis
Page 178:
Review Exercises
Page 181:
Data Analysis
Page 181:
Chapter Quiz
Page 182:
Critical Thinking Challenges
Page 183:
Data Projects
Page 122:
Applying the Concepts
Page 122:
Exercises
Chapter 4: Probability and Counting RulesSection 4.1:
Sample Spaces and Probability
Section 4.2:
The Addition Rules for Probability
Section 4.3:
The Multiplication Rules and Conditional Probability
Section 4.4:
Counting Rules
Section 4.5:
Probability and Counting Rules
Page 247:
Review Exercises
Page 250:
Chapter Quiz
Page 252:
Critical Thinking Challenges
Page 253:
Data Projects
Page 197:
Applying the Concepts
Page 198:
Exercises
Chapter 5: Discrete Probability DistributionsSection 5.1:
Probability Distributions
Section 5.2:
Mean, Variance, Standard Deviation, and Expectation
Section 5.3:
The Binomial Distribution
Section 5.4:
Other Types of Distributions (Optional)
Page 304:
Review Exercises
Page 306:
Chapter Quiz
Page 308:
Data Projects
Page 308:
Critical Thinking Challenges
Page 263:
Applying the Concepts
Page 263:
Exercises
Chapter 6: The Normal DistributionSection 6.1:
Normal Distributions
Section 6.2:
Applications of the Normal Distribution
Section 6.3:
The Central Limit Theorem
Section 6.4:
The Normal Approximation to the Binomial Distribution
Page 362:
Review Exercises
Page 364:
Chapter Quiz
Page 366:
Critical Thinking Challenges
Page 367:
Data Projects
Page 322:
Applying the Concepts
Page 322:
Exercises
Chapter 7: Confidence Intervals and Sample SizeSection 7.1:
Confidence Intervals for the Mean When Sigma is Known
Section 7.2:
Confidence Intervals for the Mean When Sigma Is Unknown
Section 7.3:
Confidence Intervals and Sample Size for Proportions
Section 7.4:
Confidence Intervals for Variances and Standard Deviations
Page 407:
Review Exercises
Page 409:
Data Analysis
Page 409:
Chapter Quiz
Page 410:
Critical Thinking Challenges
Page 411:
Data Projects
Page 378:
Applying the Concepts
Page 379:
Exercises
Chapter 8: Hypothesis TestingSection 8.1:
Steps in Hypothesis Testing - Traditional Method
Section 8.2:
z Test for a Mean
Section 8.3:
t Test for a Mean
Section 8.4:
z Test for a Proportion
Section 8.5:
Chi^2 Test for a Variance or Standard Deviation
Section 8.6:
Additional Topics Regarding Hypothesis Testing
Page 480:
Review Exercises
Page 482:
Data Analysis
Page 483:
Chapter Quiz
Page 485:
Data Projects
Page 485:
Critical Thinking Challenges
Page 425:
Applying the Concepts
Page 426:
Exercises
Chapter 9: Testing the Difference Between Two Means, Two Proportions, and Two VariancesSection 9.1:
Testing the Difference Between Two Means: Using the z Test
Section 9.2:
Testing the Difference Between Two Means of Independent Samples: Using the t Test
Section 9.3:
Testing the Difference Between Two Means: Dependent Samples
Section 9.4:
Testing the Difference Between Proportions
Section 9.5:
Testing the Difference Between Two Variances
Page 540:
Review Exercises
Page 542:
Chapter Quiz
Page 542:
Data Analysis
Page 544:
Critical Thinking Challenges
Page 545:
Data Projects
Page 494:
Applying the Concepts
Page 494:
Exercises
Chapter 10: Correlation and RegressionSection 10.1:
Scatter Plots and Correlation
Section 10.2:
Regression
Section 10.3:
Coefficient of Determination and Standard Error of the Estimate
Section 10.4:
Multiple Regression (Optional)
Page 603:
Review Exercises
Page 604:
Data Analysis
Page 605:
Chapter Quiz
Page 606:
Data Projects
Page 606:
Critical Thinking Challenges
Page 563:
Applying the Concepts
Page 564:
Exercises
Chapter 11: Other Chi-Square TestsSection 11.1:
Test for Goodness of Fit
Section 11.2:
Tests Using Contingency Tables
Page 641:
Review Exercises
Page 642:
Data Analysis
Page 643:
Chapter Quiz
Page 644:
Data Projects
Page 644:
Critical Thinking Challenges
Page 619:
Applying the Concepts
Page 619:
Exercises
Chapter 12: Analysis of VarianceSection 12.1:
One-Way Analysis of Variance
Section 12.2:
The Scheffé Test and the Tukey Test
Section 12.3:
Two-Way Analysis of Variance
Page 680:
Review Exercises
Page 682:
Data Analysis
Page 683:
Chapter Quiz
Page 684:
Critical Thinking Challenges
Page 685:
Data Projects
Page 655:
Applying the Concepts
Page 656:
Exercises
Chapter 13: Nonparametric StatisticsSection 13.1:
Advantages and Disadvantages of Nonparametric Methods
Section 13.2:
The Sign Test
Section 13.3:
The Wilcoxon Rank Sum Test
Section 13.4:
The Wilcoxon Signed-Rank Test
Section 13.5:
The Kruskal-Wallis Test
Section 13.6:
The Spearman Rank Correlation Coefficient and the Runs Test
Page 734:
Review Exercises
Page 736:
Data Analysis
Page 736:
Chapter Quiz
Page 738:
Critical Thinking Challenges
Page 739:
Data Projects
Page 692:
Applying the Concepts
Page 692:
Exercises
Chapter 14: Sampling and SimulationSection 14.1:
Common Sampling Techniques
Section 14.2:
Surveys and Questionnaire Design
Section 14.3:
Simulation Techniques and the Monte Carlo Method
Page 767:
Review Exercises
Page 768:
Data Analysis
Page 769:
Chapter Quiz
Page 770:
Data Projects
Page 770:
Critical Thinking Challenges
Page 751:
Applying the Concepts
Page 752:
Exercises
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