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Elementary Statistics

ISBN: 9780201710588 | 0201710587
Edition: 5th
Format: Hardcover w/CD
Publisher: Addison Wesley
Pub. Date: 1/1/2002

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SummaryTable of Contents
Elementary Statistics is intended for a one-semester introductory statistics course. the purpose of this book is to help students grasp basic statistical concepts and techniques, and to present real-life opportunities for applying them. With advances in technology and new insights into the practice of teaching statistics, the fifth edition can now easily fit the organization and pace of various course syllabi and technologies in use. This book offers a flexible organization of content and has a more diversified emphasis on using technology such as Minitab, the TI-83 Plus graphing calculator, Excel, and the Internet to investigate statistical problems.
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(158)
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(58)
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(18)
Chapter Review
140(1)
Review Test
140(3)
Internet Project
143(1)
Focusing on Data Analysis
143(1)
Case Study Discussion
144(1)
Biography
145(1)
Descriptive Methods in Regression and Correlation
146(49)
General Objectives and Chapter Outline
146(1)
Case Study: Fat Consumption and Prostate Cancer
147(1)
Linear Equations With One Independent Variable
148(5)
The Regression Equation
153(17)
The Coefficient of Determination
170(9)
Linear Correlation
179(16)
Chapter Review
189(1)
Review Test
190(1)
Internet Project
191(1)
Focusing on Data Analysis
191(1)
Case Study Discussion
192(1)
Biography
192(3)
PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS195(130)
Probability and Random Variables
196(60)
General Objectives and Chapter Outline
196(1)
Case Study: The Powerball
197(1)
Probability Basics
198(7)
Events
205(8)
Some Rules of Probability
213(7)
Discrete Random Variables and Probability Distributions
220(7)
The Mean and Standard Deviation of a Discrete Random Variable
227(6)
The Binomial Distribution
233(23)
Chapter Review
249(1)
Review Test
250(3)
Internet Project
253(1)
Focusing or Data Analysis
254(1)
Case Study Discussion
254(1)
Biography
255(1)
The Normal Distribution
256(40)
General Objectives and Chapter Outline
256(1)
Case Study: Chest Sizes of Scottish Militiamen
257(1)
Introducing Normally Distributed Variables
258(7)
Areas Under the Standard Normal Curve
265(9)
Working With Normally Distributed Variables
274(9)
Assessing Normality; Normal Probability Plots
283(13)
Chapter Review
290(1)
Review Test
291(2)
Internet Project
293(1)
Focusing on Data Analysis
293(1)
Case Study Discussion
294(1)
Biography
295(1)
The Sampling Distribution of the Sample Mean
296(29)
General Objectives and Chapter Outline
296(1)
Case Study: The Chesapeake and Ohio Freight Study
297(1)
Sampling Error; the Need for Sampling Distributions
298(6)
The Mean and Standard Deviation of x
304(7)
The Sampling Distribution of the Sample Mean
311(14)
Chapter Review
319(1)
Review Test
320(2)
Internet Project
322(1)
Focusing on Data Analysis
322(1)
Case Study Discussion
323(1)
Biography
323(2)
PART IV INFERENTIAL STATISTICS325
Confidence Intervals For One Population Mean
326
General Objectives and Chapter Outline
326
Case Study: The Chips Ahoy! 1,000 Chips Challenge
327
Estimating a Population Mean
328
Confidence Intervals for One Population Mean When σ Is Known
334
Margin of Error
343
Confidence Intervals for One Population Mean When σ Is Unknown
349
Chapter Review
361
Review Test
362
Internet Project
365
Focusing on Data Analysis
365
Case Study Discussion
366
Biography
367
Hypothesis Tests for One Population Mean
368
General Objectives and Chapter Outline
368
Case Study: Sex and Sense of Direction
369
The Nature of Hypothesis Testing
370
Terms, Errors, and Hypotheses
378
Hypothesis Tests for One Population Mean When σ Is Known
386
P-Values
398
Hypothesis Tests for One Population Mean When σ Is Unknown
410
Chapter Review
424
Review Test
425
Internet Project
428
Focusing on Data Analysis
428
Case Study Discussion
428
Biography
429
Inferences for Two Population Means
430
General Objectives and Chapter Outline
430
Case Study: Breast Milk and IQ
431
The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples
432
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
439
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
453
Inferences for Two Population Means, Using Paired Samples
468
Chapter Review
485
Review Test
485
Internet Project
489
Focusing on Data Analysis
489
Case Study Discussion
490
Biography
491
Inferences for Population Proportions
492
General Objectives and Chapter Outline
492
Case Study: Double-Dipping ATM Fees
493
Confidence Intervals for One Population Proportion
494
Hypothesis Tests for One Population Proportion
508
Inferences for Two Population Proportions, Using Independent Samples
516
Chapter Review
531
Review Test
531
Internet Project
533
Focusing on Data Analysis
533
Case Study Discussion
534
Biography
534
Chi-Square Procedures
536
General Objectives and Chapter Outline
536
Case Study: Road Rage
537
The Chi-Square Distribution
538
Chi-Square Goodness-Of-Fit Test
540
Contingency Tables; Association
549
Chi-Square Independence Test
558
Chapter Review
571
Review Test
571
Internet Project
574
Focusing on Data Analysis
574
Case Study Discussion
575
Biography
575
Analysis of Variance (ANOVA)
576
General Objectives and Chapter Outline
576
Case Study: Heavy Drinking Among College Students
577
The F-Distribution
578
One-Way ANOVA: The Logic
580
One-Way ANOVA: The Procedure
587
Chapter Review
602
Review Test
602
Internet Project
603
Focusing on Data Analysis
603
Case Study Discussion
604
Biography
605
Inferential Methods in Regression and Correlation
606
General Objectives and Chapter Outline
606
Case Study: Fat Consumption and Prostate Cancer
607
The Regression Model; Analysis of Residuals
608
Inferences for the Slope of the Population Regression Line
622
Estimation and Prediction
632
Inferences in Correlation
642
Chapter Review
650
Review Test
650
Internet Project
652
Focusing on Data Analysis
652
Case Study Discussion
653
Biography
654
APPENDIXESA-1
Appendix A Statistical Tables
A-3
I Random numbers
A-5
II Areas under the standard normal curve
A-6
III Normal scores
A-8
IV Values of tα
A-10
V Values of Xα2
A-12
VI Values of Fα
A-14
Appendix B Answers to Selected Exercises
A-23
IndexI-1
Data SourcesI-8

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