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Mind on Statistics (with CD-ROMs, CengageNOW, iLrn™ Homework Student Version, InfoTrac 2-Semester, Personal Tutor, Internet Companion for Statistics 2-Semester Printed Access Card),9780534998646
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Mind on Statistics (with CD-ROMs, CengageNOW, iLrn™ Homework Student Version, InfoTrac 2-Semester, Personal Tutor, Internet Companion for Statistics 2-Semester Printed Access Card)

by ;
Edition:
3rd
ISBN13:

9780534998646

ISBN10:
053499864X
Media:
Hardcover
Pub. Date:
1/3/2006
Publisher(s):
Cengage Learning
List Price: $268.95

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This is the 3rd edition with a publication date of 1/3/2006.
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Summary

Develop a conceptual understanding of statistical ideas and learn to find meaning in data with MIND ON STATISTICS and its accompanying online learning tools. Utts and Heckard explain statistical topics through excellent examples and case studies, balancing the spirit of statistical literacy with the statistical methodology. You'll develop your statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation.Your purchase includes access to iLrn Homework, an online tool that guides you through problem solving, as well as access to a live online tutor and an online university library.

Table of Contents

Statistics Success Stories and Cautionary Tales
1(11)
What Is Statistics?
1(1)
Seven Statistical Stories with Morals
2(5)
The Common Elements in the Seven Stories
7(5)
Key Terms
8(1)
Exercises
9(3)
Turning Data Into Information
12(58)
Raw Data
13(2)
Types of Variables
15(4)
Summarizing One or Two Categorical Variables
19(5)
Exploring Features of Quantitative Data with Pictures
24(12)
Numerical Summaries of Quantitative Variables
36(11)
How to Handle Outliers
47(2)
Features of Bell-Shaped Distributions
49(7)
Skillbuilder Applet: The Empirical Rule in Action
56(14)
Key Terms
57(1)
Exercises
58(12)
Sampling: Surveys and How to Ask Questions
70(46)
Collecting and Using Sample Data Wisely
71(4)
Margin of Error, Confidence Intervals, and Sample Size
75(5)
Choosing a Simple Random Sample
80(3)
Other Sampling Methods
83(6)
Difficulties and Disasters in Sampling
89(6)
How to Ask Survey Questions
95(8)
Skillbuilder Applet: Random Sampling in Action
103(13)
Key Terms
106(1)
Exercises
106(10)
Gathering Useful Data for Examining Relationships
116(34)
Speaking the Language of Research Studies
117(7)
Designing a Good Experiment
124(9)
Designing a Good Observational Study
133(3)
Difficulties and Disasters in Experiments and Observational Studies
136(14)
Key Terms
141(1)
Exercises
142(8)
Relationships Between Quantitative Variables
150(42)
Looking for Patterns with Scatterplots
152(5)
Describing Linear Patterns with a Regression Line
157(8)
Measuring Strength and Direction with Correlation
165(6)
Regression and Correlation Difficulties and Disasters
171(5)
Correlation Does Not Prove Causation
176(2)
Skillbuilder Applet: Exploring Correlation
178(14)
Key Terms
181(1)
Exercises
181(11)
Relationships Between Categorical Variables
192(36)
Displaying Relationships Between Categorical Variables
193(5)
Risk, Relative Risk, and Misleading Statistics About Risk
198(6)
The Effect of a Third Variable and Simpson's Paradox
204(2)
Assessing the Statistical Significance of a 2 X 2 Table
206(22)
Key Terms
216(1)
Exercises
217(11)
Probability
228(50)
Random Circumstances
229(2)
Interpretations of Probability
231(7)
Probability Definitions and Relationships
238(5)
Basic Rules for Finding Probabilities
243(8)
Strategies for Finding Complicated Probabilities
251(8)
Using Simulation to Estimate Probabilities
259(2)
Flawed Intuitive Judgments About Probability
261(17)
Key Terms
269(1)
Exercises
269(9)
Random Variables
278(52)
What Is a Random Variable?
279(4)
Discrete Random Variables
283(5)
Expectations for Random Variables
288(6)
Binomial Random Variables
294(6)
Continuous Random Variables
300(2)
Normal Random Variables
302(9)
Approximating Binomial Distribution Probabilities
311(3)
Sums, Differences, and Combinations of Random Variables
314(16)
Key Terms
320(1)
Exercises
321(9)
Understanding Sampling Distributions: Statistics as Random Variables
330(70)
Parameters, Statistics, and Statistical Inference
331(3)
From Curiosity to Questions About Parameters
334(10)
SD Module 0: An Overview of Sampling Distributions
344(4)
SD Module 1: Sampling Distribution for One Sample Proportion
348(6)
SD Module 2: Sampling Distribution for the Difference in Two Sample Proportions
354(3)
SD Module 3: Sampling Distribution for One Sample Mean
357(5)
SD Module 4: Sampling Distribution for the Sample Mean of Paired Differences
362(3)
SD Module 5: Sampling Distribution for the Difference in Two Sample Means
365(3)
Preparing for Statistical Inference: Standardized Statistics
368(5)
Generalizations Beyond the Big Five
373(6)
Skillbuilder Applet: Finding the Pattern in Sample Means
379(21)
Key Terms
383(1)
Exercises
384(16)
Estimating Proportions with Confidence
400(42)
Introduction
401(2)
CI Module 0: An Overview of Confidence Intervals
403(7)
CI Module 1: Confidence Interval for a Population Proportion
410(13)
CI Module 2: Confidence Intervals for the Difference in Two Population Proportions
423(5)
Using Confidence Intervals to Guide Decisions
428(14)
Key Terms
432(1)
Exercises
433(9)
Estimating Means with Confidence
442(52)
Introduction to Confidence Intervals for Means
444(8)
CI Module 3: Confidence Interval for One Population Mean
452(9)
CI Module 4: Confidence Interval for the Population Mean of Paired Differences
461(5)
CI Module 5: Confidence Interval for the Difference in Two Population Means
466(12)
Understanding Any Confidence Interval
478(2)
Skillbuilder Applet: The Confidence Level in Action
480(14)
Key Terms
483(1)
Exercises
484(10)
Testing Hypotheses About Proportions
494(56)
Introduction
495(1)
HT Module 0: An Overview of Hypothesis Testing
496(15)
HT Module 1: Testing Hypotheses About a Population Proportion
511(16)
HT Module 2: Testing Hypotheses About the Difference in Two Population Proportions
527(6)
Sample Size, Statistical Significance, and Practical Importance
533(17)
Key Terms
538(1)
Exercises
538(12)
Testing Hypotheses About Means
550(48)
Introduction to Hypothesis Tests for Means
551(2)
HT Module 3: Testing Hypotheses about One Population Mean
553(8)
HT Module 4: Testing Hypotheses about the Population Mean of Paired Differences
561(4)
HT Module 5: Testing Hypotheses about the Difference in Two Population Means
565(9)
The Relationship Between Significance Tests and Confidence Intervals
574(2)
Choosing an Appropriate Inference Procedure
576(4)
Effect Size
580(5)
Evaluating Significance in Research Reports
585(13)
Key Terms
587(1)
Exercises
588(10)
Inference About Simple Regression
598(36)
Sample and Population Regression Models
600(5)
Estimating the Standard Deviation for Regression
605(4)
Inference About the Slope of a Linear Regression
609(4)
Predicting y and Estimating Mean y at a Specific x
613(6)
Checking Conditions for Using Regression Models for Inference
619(15)
Key Terms
625(1)
Exercises
626(8)
More About Inference for Categorical Variables
634(34)
The Chi-Square Test for Two-Way Tables
635(11)
Analyzing 2 X 2 Tables
646(6)
Testing Hypotheses About One Categorical Variable: Goodness-of-Fit
652(16)
Key Terms
658(1)
Exercises
658(10)
Analysis of Variance
668
Comparing Means with an ANOVA F-Test
669(10)
Details of One-Way Analysis of Variance
679(6)
Other Methods for Comparing Populations
685(4)
Two-Way Analysis of Variance
689
Key Terms
693(1)
Exercises
693
Turning Information Into Wisdom
70(655)
Beyond the Data
705(4)
Transforming Uncertainty Into Wisdom
709(1)
Making Personal Decisions
709(4)
Control of Societal Risks
713(2)
Understanding Our World
715(3)
Getting to Know You
718(1)
Words to the Wise
719(6)
Exercises
721(4)
Appendix of Tables 725(8)
References 733(5)
Answers to Selected Exercises 738(13)
Credits 751(2)
Index 753


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