Introductory statistics. 8th ed. /

2
Case Study: Greatest American Screen Legends 3
1.1 Statistics Basics 4
1.2 Simple Random Sampling 12
1.3 Other Sampling Designs* 18
1.4 Experimental Designs' 24
Chapter in Review 30, Review Problems 31, Focusing on Data Anal'ysis 34,
Case Study Discussion 34, Biography 35
S r' pt&i a 7 Statistbcs 37
38
Case Study: Preventing Infant Mortality 39
2.1 Variables and Data 40
2.2 Grouping Data 44
2.3 Graphs and Charts 56
24 Distribution Shapes 72
2.5 Misleading Graphs 81
Chapter in Review 85, Review Problems 86, Focusing on Data Analysis 90,
Case Study Discussion 90, Biography 91
92
Case Study: The Triple Crown 93
3,1 Measures of Center 94
3.2 Measures of Variation 106
3.3 The Five-Number Summary; Boxplots 122
3.4 Descriptive Measures for Populations; Use of Samples 136
Chapter in Review 148, Review Problems 149, Focusing on Data Analysis 152,
Case Study Discussion 152, Biography 153
Part II Probability, Random Variables, and Sampling Distributions 155
1r ; r 156
Case Study: The Powerball 157
4.1 Probability Basics 158
4.2 Events 166
4.3 Some Rules of Probability 175
4.4 Contingency Tables; Joint and Marginal Probabilities* 183
4.5 Conditional Probability* 189
4.6 The Multiplication Rule; Independence* 197
4.7 Bayes's Rule* 206
4.8 Counting Rules* 214
Chapter in Review 225, Review Problems 226, Focusing on Data Analysis 230,
Case Study Discussion 230, Biography 231
4 1^ 0^ , -A ., V W41 232
Case Study: Aces Wild on the Sixth at Oak Hill 233
5.1 Discrete Random Variables and Probability Distributions* 234
5.2 The Mean and Standard Deviation of a Discrete Random Variable* 242
5.3 The Binomial Distribution* 249
5.4 The Poisson Distribution* 265
Chapter in Review 274, Review Problems 275, Focusing on Data Analysis 278,
Case Study Discussion 278, Biography 279
280
Case Study: Foot Length and Shoe Size for Women 281
6.1 Introducing Normally Distributed Variables 282
6.2 Areas Under the Standard Normal Curve 290
6.3 Working with Normally Distributed Variables 298
6.4 Assessing Normality; Normal Probability Plots 308
"6,5 Normal Approximation to the Binomial Distribution* 315
Chapter in Review 323, Review Problems 323, Focusing on Data Analysis 326,
Case Study Discussion 326, Biography 327
0 a 328
Case Study: The Chesapeake and Ohio Freight Study 329
7.1 Sampling Error; the Need for Sampling Distributions 330
7.2 The Mean and Standard Deviation of the Sample Mean 336
7.3 The Sampling Distribution of the Sample Mean 343
Chapter in Review 352, Review Problems 352, Focusing on Data Analysis 355,
Case Study Discussion 355, Biography 355
357
358
Case Study: The Chips Ahoy! 1,000 Chips Challenge 359
8.1 Estimating a Population Mean 360
8.2 Confidence Intervals for One Population Mean When c Is Known 366
8.3 Margin of Error 375
8.4 Confidence Intervals for One Population Mean When a Is Unknown 381
Chapter in Review 394, Review Problems 394, Focusing on Data Annalysis 398,
Case Stuidy Discussion 398, Biography 399
400
Case Study: Sex and Sense of Direction 401
9.1 The Nature of Hypothesis Testing 402
9.2 Terms, Errors, and Hypotheses 409
9.3 Hypothesis Tests for One Population Mean When a Is Known 418
9.4 Type I Error Probabilities; Power* 430
9.5 P-Values 438
9.6 Hypothesis Tests for One Population Mean When a Is Unknown 450
9.7 The Wilcoxon Signed-Rank Test* 460
9.8 Which Procedure Should Be Used?* 474
Chapter in Review 479, Review Problems 480, Focusing on Data Analysis 484,
Case Study Discussion 484, Biography 485
486
Case Study: Breast Milk and IQ 487
10.1 The Sampling Distribution of the Difference Between Two Sample Means for
Independent Samples 488
10.2 Inferences for Two Population Means, Using Independent Samples: Standard
Deviations Assumed Equal 494
10.3 Inferences for Two Population Means, Using Independent Samples: Standard
Deviations Not Assumed Equal 507
10.4 The Mann-Whitney Test* 522
10.5 Inferences for Two Population Means, Using Paired Samples 534
10.6 The Paired Wilcoxon Signed-Rank Test* 549
10.7 Which Procedure Should Be Used?* 559
Chapter in Review 566, Review Problems 566, Focusing on Data Analysis 570,
Case Study Discussion 570 Biography 571
Case Study: Speaker Woofer Driver Manufacturing 573
11.1 Inferences for One Population Standard Deviation* 574
11.2 Inferences for Two Population Standard Deviations, Using Independent
Samples* 589
Chapter in Review 602, Review Problems 603, Focusing on Data Analysis 605,
Case Study Discussion 605, Biography 606
- l V - 9 . ..... S &608
Case Study: World War III? 609
12.1 Confidence Intervals for One Population Proportion 610
12.2 Hypothesis Tests for One Population Proportion 622
12.3 Inferences for Two Population Proportions 629
Chapter in Review 643, Review Problems 643, Focusing on Data Analysis 646,
Case Study Discussion 646, Biography 646
i I 648
Case Study: Road Rage 649
13.1 The Chi-Square Distribution 650
13.2 Chi-Square Goodness-of-Fit Test 651
13.3 Contingency Tables; Association 662
13.4 Chi-Square Independence Test 674
Chapter in Review 687, Review Problems 687, Focusing on Data Analysis 690,
Case Study Discussion 690, Biography 691
Part V Regression, Correlation, and ANOVA 693
-^ 4, - . ...i . 694
Case Study: Shoe Size and Height 695
14.1 Linear Equations With One Independent Variable 696
"14.2 The Regression Equation 701
14.3 The Coefficient of Determination 717
14.4 Linear Correlation 726
Chapter in Review 736, Review Problems 737, Focusing on Data Analysis 739,
Case Study Discussion 739, Biography 740
742
Case Study: Shoe Size and Height 743
15.1 The Regression Model; Analysis of Residuals 744
15.2 Inferences for the Slope of the Population Regression Line 757
15.3 Estimation and Prediction 765
15.4 Inferences in Correlation 775
15.5 Testing for Normality* 782
Chapter in Review 792, Review Problems 793, Focusing on Data Analysis 96,
Case Stuidy Disculssion 796, Biography 797
798
Case Study: Heavy Drinking Among College Students 799
16.1 The F-Distribution 800
16.2 One-Way ANOVA: The Logic 801
16.3 One-Way ANOVA: The Procedure 809
16.4 Multiple Comparisons* 823
16.5 The Kruskal-Wallis Test* 832
Chapter in Review 843, Review Problems 844, Focusing o? n Data Analysis 846,
Case Stuzdy Disczssion 847, Biography 847
R w ets R e -ion andc Moae- Buil d ng-
ifnDaI esign and ANOVA (On Uhe WeissStats CD)
Case Study: Automobile Insurance Rates
A.I The Multiple Linear Regression Model
A.2 Estimation of the Regression Parameters
A.3 Inferences Concerning the Utility of the Regression Model
A.4 Inferences Concerning the Utility of Particular Predictor Variables
A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
A.6 Checking Model Assumptions and Residual Analysis
Module Review, Review Problems, Focusing on Data Analysis, Case Study Discussion,
Answers
Case Study: Automobile Insurance Rates-Revisited
B.1 Transformations to Remedy Model Violations
B.2 Polynomial Regression Model
B.3 Qualitative Predictor Variables
B.A Multicollinearity
B.5 Model Selection: Stepwise Regression
B6, Model Selection: All Subsets Regression
B.7 Pitfalls and Warnings
Module Review, Review Problems, Focusing on Data Analysis, Case Study Discussion,
Answers
Case Study: Dental Hygiene: Which Toothbrush?
CA Factorial Designs
C.2 Two-Way ANOVA: The Logic
C.3 Two-Way ANOVA: The Procedure
C4 Two-Way ANOVA: Multiple Comparisons
C.5 Randomized Block Designs
C.6 Randomized Block ANOVA: The Logic
C.7 Randomized Block ANOVA: The Procedure
C.8 Randomized Block ANOVA: Multiple Comparisons
C.9 Friedman's Nonparametric Test for the Randomized Block Design*
Module Review, Review Problems, Focusing on Data Analysis, Case Study Discussion,
Answers