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Statistics : Informed Decisions Using Data,9780131871496
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Statistics : Informed Decisions Using Data

by
Edition:
3rd
ISBN13:

9780131871496

ISBN10:
0131871498
Format:
Hardcover w/CD
Pub. Date:
1/1/2010
Publisher(s):
Prentice Hall
Includes 2-weeks free access to
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This is the 3rd edition with a publication date of 1/1/2010.
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Summary

For algebra-based Introductory Statistics Courses.This very popular text is written to promote student success while maintaining the statistical integrity of the course. The author draws on his teaching experience and background in statistics and mathematics to achieve this balance. Three fundamental objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) Allowing for flexibility of teaching styles. Datasets and other resources (where applicable) for this book are available here .

Table of Contents

Preface to the Instructor xi
Student Resources xxi
List of Applications
xxiii
Photo Credits xxix
Part I: Getting the Information You Need
1(58)
Data Collection
2(57)
Introduction to the Practice of Statistics
3(10)
Observational Studies, Experiments, and Simple Random Sampling
13(10)
Other Effective Sampling Methods
23(10)
Sources of Error in Sampling
33(7)
The Design of Experiments
40(19)
Chapter Review
52(4)
Case Study: Chrysalises for Cash
56(3)
Part II: Descriptive Statistics
59(190)
Organizing and Summarizing Data
60(60)
Organizing Qualitative Data
61(16)
Organizing Quantitative Data: The Popular Displays
77(20)
Additional Displays of Quantitative Data
97(7)
Graphical Misrepresentations of Data
104(16)
Chapter Review
110(8)
Case Study: The Day the Sky Roared
118(2)
Numerically Summarizing Data
120(74)
Measures of Central Tendency
121(16)
Measures of Dispersion
137(20)
Measures of Central Tendency and Dispersion from Grouped Data
157(8)
Measures of Position
165(10)
The Five-Number Summary and Boxplots
175(19)
Chapter Review
184(7)
Case Study: Who Was `A Mourner'?
191(3)
Describing the Relation between Two Variables
194(55)
Scatter Diagrams and Correlation
195(17)
Least-Squares Regression
212(14)
Diagnostics on the Least-Squares Regression Line
226
Nonlinear Regression: Transformations (On CD)
1(248)
Chapter Review
241(6)
Case Study: Thomas Malthus, Population, and Subsistence
247(2)
Part III: Probability and Probability Distributions
249(166)
Probability
250(64)
Probability Rules
251(15)
The Addition Rule and Complements
266(11)
Independence and the Multiplication Rule
277(6)
Conditional Probability and the General Multiplication Rule
283(10)
Counting Techniques
293
Bayes's Rule (ON CD)
1(313)
Chapter Review
307(5)
Case Study: The Case of the Body in the Bag
312(2)
Discrete Probability Distributions
314(44)
Discrete Random Variables
315(13)
The Binomial Probability Distribution
328(17)
The Poisson Probability Distribution
345
The Hypergeometric Probability Distribution (ON CD)
1(357)
Chapter Review
352(4)
Case Study: The Voyage of the St. Andrew
356(2)
The Normal Probability Distribution
358(57)
Properties of the Normal Distribution
359(12)
The Standard Normal Distribution
371(14)
Applications of the Normal Distribution
385(9)
Assessing Normality
394(8)
The Normal Approximation to the Binomial Probability Distribution
402(13)
Chapter Review
407(5)
Case Study: A Tale of Blood, Chemistry, and Health
412(3)
Part IV: Inference: From Samples to Population
415
Sampling Distributions
416(30)
Distribution of the Sample Mean
417(17)
Distribution of the Sample Proportion
434(12)
Chapter Review
442(2)
Case Study: Sampling Distribution of the Median
444(2)
Estimating the Value of a Parameter Using Confidence Intervals
446(58)
The Logic in Constructing Confidence Intervals about a Population Mean Where the Population Standard Deviation is Known
447(19)
Confidence Intervals about a Population Mean in Practice Where the Population Standard Deviation is Unknown
466(12)
Confidence Intervals about a Population Proportion
478(8)
Confidence Intervals about a Population Standard Deviation
486(7)
Putting It All Together: Which Method Do I Use?
493(11)
Chapter Review
497(5)
Case Study: The Search for a Fire-Safe Cigarette
502(2)
Testing Claims Regarding a Parameter
504(70)
The Language of Hypothesis Testing
505(8)
Testing Claims about a Population Mean Assuming the Population Standard Deviation Is Known
513(18)
Testing Claims about a Population Mean in Practice
531(13)
Testing Claims about a Population Proportion
544(9)
Testing Claims about a Population Standard Deviation
553(5)
Putting It All Together: Which Method Do I Use?
558(3)
The Probability of a Type II Error and the Power of the Test
561(13)
Chapter Review
567(4)
Case Study: How Old Is Stonehenge?
571(3)
Inference on Two Samples
574(56)
Inference about Two Means: Dependent Samples
575(13)
Inference about Two Means: Independent Samples
588(13)
Inference about Two Population Proportions
601(11)
Inference about Two Population Standard Deviations
612(18)
Chapter Review
623(5)
Case Study: Control in the Design of an Experiment
628(2)
Inference on Categorical Data
630(46)
Goodness of Fit Test
631(10)
Contingency Tables and Association
641(10)
Tests for Independence and the Homogeneity of Proportions
651(25)
Chapter Review
668(6)
Case Study: Feeling Lucky? Well, Are You?
674(2)
Comparing Three or More Means
676(60)
Comparing Three or More Means (One-Way Analysis of Variance)
677(14)
Post-Hoc Tests on One-Way Analysis of Variance
691(10)
The Randomized Complete Block Design
701(10)
Two-Way Analysis of Variance
711(25)
Chapter Review
728(6)
Case Study: Hat Size and Intelligence
734(2)
Inference on the Least-Squares Regression Model and Multiple Regression
736
Testing the Significance of the Least-Squares Regression Model
737(16)
Confidence and Prediction Intervals
753(5)
Multiple Regression
758
Chapter Review
783(5)
Case Study: Housing Boom
788
Nonparametrics (ON CD)
An Overview of Nonparametric Statistics
Runs Test for Randomness
Inferences about Measures of Central Tendency
Inferences about the Difference between Two Medians: Dependent Samples
Inferences about the Difference between Two Medians: Independent Samples
Spearman's Rank-Correlation Test
Kruskal-Wallis Test
Chapter Review
Case Study: Evaluating Alabama's 1891 House Bill 504
Appendix A Tables 1(1)
Appendix B Lines (On CD) 1(1)
Answers 1(1)
Index 1


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