Chapter 1: Overview and Descriptive StatisticsSection 1.1:
Populations, Samples, and Processes
Section 1.2:
Pictorial and Tabular Methods in Descriptive Statistics
Section 1.3:
Measures of Location
Section 1.4:
Measures of Variability
Page 47:
Supplementary Exercises
Section 2.1:
Sample Spaces and Events
Section 2.2:
Axioms, Interpretations, and Properties of Probability
Section 2.3:
Counting Techniques
Section 2.4:
Conditional Probability
Section 2.5:
Independence
Page 91:
Supplementary Exercises
Chapter 3: Discrete Random Variables and Probability DistributionsSection 3.1:
Random Variables
Section 3.2:
Probability Distributions for Discrete Random Variables
Section 3.3:
Expected Values
Section 3.4:
The Binomial Probability Distribution
Section 3.5:
Hypergeometric and Negative Binomial Distributions
Section 3.6:
The Poisson Probability Distribution
Page 137:
Supplementary Exercises
Chapter 4: Continuous Random Variables and Probability DistributionsSection 4.1:
Probability Density Functions
Section 4.2:
Cumulative Distribution Functions and Expected Values
Section 4.3:
The Normal Distribution
Section 4.4:
The Exponential and Gamma Distributions
Section 4.5:
Other Continuous Distributions
Section 4.6:
Probability Plots
Page 193:
Supplementary Exercises
Chapter 5: Joint Probability Distributions and Random SamplesSection 5.1:
Jointly Distributed Random Variables
Section 5.2:
Expected Values, Covariance, and Correlation
Section 5.3:
Statistics and Their Distributions
Section 5.4:
The Distribution of the Sample Mean
Section 5.5:
The Distribution of a Linear Combination
Page 243:
Supplementary Exercises
Chapter 6: Point EstimationSection 6.1:
Some General Concepts of Point Estimation
Section 6.2:
Methods of Point Estimation
Page 274:
Supplementary Exercises
Chapter 7: Statistical Intervals Based on a Single SampleSection 7.1:
Basic Properties of Confidence Intervals
Section 7.2:
Large-Sample Confidence Intervals for a Population Mean and Proportion
Section 7.3:
Intervals Based on a Normal Population Distribution
Section 7.4:
Confidence Intervals for the Variance and Standard Deviation of a Normal Population
Page 307:
Supplementary Exercises
Chapter 8: Tests of Hypothesis Based on a Single SampleSection 8.1:
Hypothesis and Test Procedures
Section 8.2:
z Tests for Hypothesis about a Population Mean
Section 8.3:
The One-Sample t test
Section 8.4:
Tests Concerning a Population Proportion
Section 8.5:
Further Aspects of Hypothesis Testing
Page 357:
Supplementary Exercises
Chapter 9: Inferences Based on Two SamplesSection 9.1:
z Tests and Confidence Intervals for a Difference Between Two Population Means
Section 9.2:
The Two-Sample t Test and Confidence Interval
Section 9.3:
Analysis of Paired Data
Section 9.4:
Inferences Concerning a Difference Between Population Proportions
Section 9.5:
Inferences Concerning Two Population Variances
Page 403:
Supplementary Exercises
Chapter 10: The Analysis of VarianceSection 10.1:
Single-Factor ANOVA
Section 10.2:
Multiple Comparisons in ANOVA
Section 10.3:
More on Single-Factor ANOVA
Page 435:
Supplementary Exercises
Chapter 11: Multifactor Analysis of VarianceSection 11.1:
Two-Factor ANOVA with Kij = 1
Section 11.2:
Two-Factor ANOVA with Kij > 1
Section 11.3:
Three-Factor ANOVA
Section 11.4:
2^p Factorial Experiments
Page 483:
Supplementary Exercises
Chapter 12: Simple Linear Regression and CorrelationSection 12.1:
The Simple Linear Regression Model
Section 12.2:
Estimating Model Parameters
Section 12.3:
Inferences About the Slope Parameter b1
Section 12.4:
Inferences Concerning mY * x* and the Prediction of Future Y Values
Section 12.5:
Correlation
Page 537:
Supplementary Exercises
Chapter 13: Nonlinear and Multiple RegressionSection 13.1:
Assessing Model Adequacy
Section 13.2:
Regression with Transformed Variables
Section 13.3:
Polynomial Regression
Section 13.4:
Multiple Regression Analysis
Section 13.5:
Other Issues in Multiple Regression
Page 610:
Supplementary Exercises
Chapter 14: Goodness-of-Fit Tests and Categorical Data AnalysisSection 14.1:
Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
Section 14.2:
Goodness-of-Fit Tests for Composite Hypotheses
Section 14.3:
Two-Way Contingency Tables
Page 648:
Supplementary Exercises
Chapter 15: Distribution-FreeProceduresSection 15.1:
The Wilcoxon Signed-Rank Test
Section 15.2:
The Wilcoxon Rank-Sum Test
Section 15.3:
Distribution-Free Confidence Intervals
Section 15.4:
Distribution-Free ANOVA
Page 675:
Supplementary Exercises
Chapter 16: Quality Control MethodsSection 16.1:
General Comments on Control Charts
Section 16.2:
Control Charts for Process Location
Section 16.3:
Control Charts for Process Variation
Section 16.4:
Control Charts for Attributes
Section 16.5:
CUSUM Procedures
Section 16.6:
Acceptance Sampling
Page 714:
Supplementary Exercises
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