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Introductory Statistics

ISBN: 9780201710595 | 0201710595
Edition: 6th
Format: Hardcover w/CD
Publisher: Addison Wesley
Pub. Date: 1/1/2002

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SummaryTable of Contents
Weiss Introductory Statistics is intended for a one- or two-semester introductory statistics course. Students learn the core statistical concepts in an applied setting, and can access more advanced topics (multiple regression, ANOVA, and Experimental Design) through chapters available on the WeissStat CD. With advances in technology and new insights into the practice of teaching statistics, the sixth edition can now easily fit the organization and pace of various course syllabi and technologies in use. The book offers a flexible organization of... MORE
PART I INTRODUCTION1(36)
The Nature of Statistics
2(35)
General Objectives and Chapter Outline
2(1)
... MORE
Case Study: Top Films of All Time
3(1)
Two Kinds of Statistics
4(6)
The Technology Center
10(1)
Simple Random Sampling
10(7)
Other Sampling Designs
17(5)
Experimental Designs
22(15)
Chapter Review
30(1)
Review Test
31(3)
Internet Project
34(1)
Focusing on Data Analysis
34(1)
Case Study Discussion
35(1)
Biography
35(2)
PART II DESCRIPTIVE STATISTICS37(108)
Organizing Data
38(50)
General Objectives and Chapter Outline
38(1)
Case Study: Preventing Infant Mortality
39(1)
Variables and Data
40(4)
Grouping Data
44(12)
Graphs and Charts
56(10)
Stem-and-Leaf Diagrams
66(5)
Distribution Shapes; Symmetry and Skewness
71(7)
Misleading Graphs
78(10)
Chapter Review
82(1)
Review Test
83(3)
Internet Project
86(1)
Focusing on Data Analysis
86(1)
Case Study Discussion
86(1)
Biography
87(1)
Descriptive Measures
88(57)
General Objectives and Chapter Outline
88(1)
Case Study: New York Yankees Y2K Salaries
89(1)
Measures of Center
90(9)
The Sample Mean
99(4)
Measures of Variation; the Sample Standard Deviation
103(13)
The Five-Number Summary; Boxplots
116(12)
Descriptive Measures for Populations; Use of Samples
128(17)
Chapter Review
140(1)
Review Test
140(2)
Internet Project
142(1)
Focusing on Data Analysis
143(1)
Case Study Discussion
143(1)
Biography
144(1)
PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS145(194)
Probability Concepts
146(70)
General Objectives and Chapter Outline
146(1)
Case Study: The Powerball
147(1)
Probability Basics
148(7)
Events
155(8)
Some Rules of Probability
163(7)
Contingency Tables; Joint and Marginal Probabilities
170(5)
Conditional Probability
175(7)
The Multiplication Rule; Independence
182(7)
Bayes's Rule
189(7)
Counting Rules
196(20)
Chapter Review
208(1)
Review Test
209(3)
Internet Project
212(1)
Focusing on Data Analysis
213(1)
Case Study Discussion
213(2)
Biography
215(1)
Discrete Random Variables
216(46)
General Objectives and Chapter Outline
216(1)
Case Study; Aces Wild on the Sixth at Oak Hill
217(1)
Discrete Random Variables and Probability Distributions
218(7)
The Mean and Standard Deviation of a Discrete Random Variable
225(7)
The Binomial Distribution
232(16)
The Poisson Distribution
248(14)
Chapter Review
256(1)
Review Test
257(2)
Internet Project
259(1)
Focusing on Data Analysis
259(1)
Case Study Discussion
260(1)
Biography
260(2)
The Normal Distribution
262(48)
General Objectives and Chapter Outline
262(1)
Case Study: Chest Sizes of Scottish Militiamen
263(1)
Introducing Normally Distributed Variables
264(7)
Areas Under the Standard Normal Curve
271(9)
Working With Normally Distributed Variables
280(9)
Assessing Normality; Normal Probability Plots
289(7)
Normal Approximation to the Binomial Distribution
296(14)
Chapter Review
304(1)
Review Test
305(2)
Internet Project
307(1)
Focusing on Data Analysis
307(1)
Case Study Discussion
308(1)
Biography
309(1)
The Sampling Distribution of the Sample Mean
310(29)
General Objectives and Chapter Outline
310(1)
Case Study; The Chesapeake and Ohio Freight Study
311(1)
Sampling Error; the Need for Sampling Distributions
312(6)
The Mean and Standard Deviation of x
318(7)
The Sampling Distribution of the Sample Mean
325(14)
Chapter Review
333(1)
Review Test
334(2)
Internet Project
336(1)
Focusing on Data Analysis
336(1)
Case Study Discussion
337(1)
Biography
337(2)
PART IV INFERENTIAL STATISTICS339(342)
Confidence Intervals for One Population Mean
340(42)
General Objectives and Chapter Outline
340(1)
Case Study: The Chips Ahoy! 1,000 Chips Challenge
341(1)
Estimating a Population Mean
342(6)
Confidence Intervals for One Population Mean When σ Is Known
348(9)
Margin of Error
357(6)
Confidence Intervals for One Population Mean When σ Is Unknown
363(19)
Chapter Review
375(1)
Review Test
376(3)
Internet Project
379(1)
Focusing Data Analysis
379(1)
Case Study Discussion
380(1)
Biography
381(1)
Hypothesis Tests for One Population Mean
382(90)
General Objectives and Chapter Outline
382(1)
Case Study; Sex and Sense of Direction
383(1)
The Nature of Hypothesis Testing
384(8)
Terms, Errors, and Hypotheses
392(8)
Hypothesis Tests for 011e Population Mean When σ Is Known
400(12)
Type II Error Probabilities; Power
412(9)
P-Values
421(12)
Hypothesis Tests for One Population Mean When σ Is Unknown
433(11)
The Wilcoxon Signed-Rank Test
444(14)
Which Procedure Should & Used?
458(14)
Chapter Review
464(1)
Review Test
465(4)
Internet Project
469(1)
Focusing Data Analysis
469(1)
Case Study Discussion
469(1)
Biography
470(2)
Inferences for Two Population Means
472(88)
General Objectives and Chapter Outline
472(1)
Case Study: Breast Milk and IQ
473(1)
The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples
474(7)
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
481(14)
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
495(14)
The Mann Whitney Test
509(13)
Inferences for Two Population Means, Using Paired Samples
522(17)
The Paired Wilcoxon Signed-Rank Test
539(8)
Which Procedure Should Be Used?
547(13)
Chapter Review
554(1)
Review Test
555(2)
Internet Project
557(1)
Focusing on Data Analysis
557(1)
Case Study Discussion
558(1)
Biography
559(1)
Inferences for Population Standard Deviations
560(36)
General Objectives and Chapter Outline
560(1)
Case Study: Speaker Woofer Driver Manufacturing
561(1)
Inferences for One Population Standard Deviation
562(14)
Inferences for Two Population Standard Deviations, Using Independent Samples
576(20)
Chapter Review
590(1)
Review Test
591(2)
Internet Project
593(1)
Focusing on Data Analysis
593(1)
Case Study Discussion
594(1)
Biography
594(2)
Inferences for Population Proportions
596(44)
General Objectives and Chapter Outline
596(1)
Case Study: Double-Dipping ATM Fees
597(1)
Confidence Intervals for One Population Proportion
598(14)
Hypothesis Tests for One Population Proportion
612(8)
Inferences for Two Population Proportions, Using Independent Samples
620(20)
Chapter Review
635(1)
Review Test
635(2)
Internet Project
637(1)
Focusing on Data Analysis
637(1)
Case Study Discussion
638(1)
Biography
638(2)
Chi-Square Procedures
640(41)
General Objectives and Chapter Outline
640(1)
Case Study: Road Rage
641(1)
The Chi-Square Distribution
642(2)
Chi-Square Goodness-Of-Fit Test
644(9)
Contingency Tables; Association
653(9)
Chi-Square Independence Test
662(19)
Chapter Review
675(1)
Review Test
675(3)
Internet Project
678(1)
Focusing on Data Analysis
678(1)
Case Study Discussion
679(1)
Biography
679(2)
PART V REGRESSION, CORRELATION, AND ANOVA681(1)
Descriptive Methods in Regression and Correlation
682(1)
General Objectives and Chapter Outline
682(1)
Case Study: fat Consumption and Prostate Cancer
683(1)
Linear Equations With One Independent Variable
684(5)
The Regression Equation
689(17)
The Coefficient of Determination
706(9)
Linear Correlation
715(15)
Chapter Review
725(1)
Review Test
726(1)
Internet Project
727(1)
Focusing on Data Analysis
727(1)
Case Study Discussion
728(1)
Biography
728(2)
Inferential Methods in Regression and Correlation
730(56)
General Objectives and Chapter Outline
730(1)
Case Study: Fat Consumption and Prostate Cancer
731(1)
The Regression Model; Analysis of Residuals
732(14)
Inferences for the Slope of the Population Regression Line
746(10)
Estimation and Prediction
756(10)
Inferences in Correlation
766(8)
Testing for Normality
774(12)
Chapter Review
781(1)
Review Test
781(2)
Internet Project
783(1)
Focusing on Data Analysis
784(1)
Case Study Discussion
784(1)
Biography
785(1)
Analysis of Variance (ANOVA)
786(1)
General Objectives and Chapter Outline
786(1)
Case Study Heavy Drinking Among College Students
787(1)
The F-Distribution
788(2)
One-Way ANOVA: The Logic
790(7)
One-Way ANOVA: The Procedure
797(14)
Multiple Comparisons
811(7)
The Kruskal-Wallis Test
818(11)
Chapter Review
829(1)
Review Test
830(1)
Internet Project
831(1)
Focusing on Data Analysis
832(1)
Case Study Discussion
832(1)
Biography
833
PART VI MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA (ON THE WeissStats CD)
Multiple Regression Analysis
2(1)
General Objectives and Module Outline
2(1)
Case Study: Automobile Insurance Rates
3(1)
The Multiple Linear Regression Model
4(6)
Estimation of the Regression Parameters
10(17)
Inferences Concerning the Utility of the Regression Model
27(13)
Inferences Concerning the Utility of Particular Predictor Variables
40(7)
Confidence Intervals for Mean Response; Prediction Intervals for Response
47(14)
Checking Model Assumptions and Residual Analysis
61(15)
Module Review
76(1)
Review Test
77(3)
Internet Project
80(1)
Focusing on Data Analysis
81(1)
Case Study Discussion
82(3)
Answers
85
Model Building in Regression
2(1)
General Objectives and Module Outline
2(1)
Case Study: Automobile Insurance Rates-Revisited
3(1)
Transformations to Remedy Model Violations
4(43)
Polynomial Regression Model
47(45)
Qualitative Predictor Variables
92(48)
Multicollinearity
140(31)
Model Selection: Stepwise Regression
171(28)
Model Selection: All Subsets Regression
199(15)
Pitfalls and Warnings
214(6)
Module Review
220(1)
Review Test
221(22)
Internet Project
243(1)
Focusing on Data Analysis
243(1)
Case Study Discussion
244(5)
Answers
249
Design of Experiments and Analysis of Variance
2(1)
General Objective and Model Outline
2(1)
Case Study: Dental Hygiene: Which Toothbrush?
3(1)
Factorial Designs
4(7)
Two-Way ANOVA: The Logic
11(18)
Two-Way ANOVA; The Procedure
29(33)
Two-Way ANOVA: Multiple Comparisons
62(16)
Randomized Block Designs
78(6)
Randomized Block ANOVA: The Logic
84(12)
Randomized Block ANOVA: The Procedure
96(33)
Randomized Block ANOVA: Multiple Comparisons
129(7)
Friedman's Nonparametric Test for the Randomized Block Design
136(12)
Module Review
148(1)
Review Test
149(9)
Internet Project
158(1)
Focusing on Data Analysis
158(1)
Case Study Discussion
159(2)
Answers
161
APPENDIXES1(1)
Appendix A Statistical Tables
3(24)
I Random numbers
5(1)
II Areas under the standard normal curve
6(2)
III Normal scores
8(2)
IV Values of tα
10(2)
V Values of Wα
12(1)
VI Values of Mα
13(1)
VII Values of X2α
14(2)
VIII Values of Fα
16(8)
IX Critical values for a correlation test for normality
24(1)
X Values of q0.01
25(1)
XI Values of q0.05
26(1)
Appendix B Answers to Selected Exercises
27
Index1(7)
Data Sources8

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