did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780495122500

Statistical Ideas and Methods (with CD-ROM and Internet Companion for Statistics)

by
  • ISBN13:

    9780495122500

  • ISBN10:

    0495122505

  • Edition: CD
  • Format: Hardcover
  • Copyright: 2005-01-26
  • Publisher: Cengage Learning

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

List Price: $241.95 Save up to $111.30
  • Rent Book $130.65
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    USUALLY SHIPS IN 24-48 HOURS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

Emphasizing the conceptual development of statistical ideas, STATISTICAL IDEAS AND METHODS actively engages students and explains topics in the context of excellent examples and case studies. This text balances the spirit of statistical literacy with statistical methodology taught in the introductory statistics course. Jessica Utts and Robert Heckard built the book on two learning premises: (1) New material is much easier to learn and remember if it is related to something interesting or previously known; (2) New material is easier to learn if you actively ask questions and answer them for yourself. More than any other text available, STATISTICAL IDEAS AND METHODS motivates students to develop their statistical intuition by focusing on analyzing data and interpreting results as opposed to focusing on mathematical formulation. STATISTICAL IDEAS AND METHODS provides the exciting coverage from the authors' acclaimed MIND ON STATISTICS along with coverage of additional discrete random variables, nonparametric tests of hypotheses, multiple regression, two-way analysis of variance, and ethics.

Table of Contents

Statistics Success Stories and Cautionary Tales
1(11)
What Is Statistics?
1(1)
Seven Statistical Stories with Morals
2(5)
Case Study 1.1: Who Are Those Speedy Drivers?
2(1)
Case Study 1.2: Safety in the Skies?
3(1)
Case Study 1.3: Did Anyone Ask Whom You've Been Dating?
3(1)
Case Study 1.4: Who Are Those Angry Women?
4(1)
Case Study 1.5: Does Prayer Lower Blood Pressure?
5(1)
Case Study 1.6: Does Aspirin Reduce Heart Attack Rates?
5(1)
Case Study 1.7: Does the Internet Increase Loneliness and Depression?
6(1)
The Common Elements in the Seven Stories
7(5)
Key Terms
8(1)
Exercises
9(2)
References
11(1)
Turning Data into Information
12(46)
Raw Data
13(1)
Types of Data
14(4)
Summarizing One or Two Categorical Variables
18(5)
Finding Information in Quantitative Data
23(4)
Pictures for Quantitative Data
27(5)
Numerical Summaries of Quantitative Variables
32(7)
Bell-Shaped Distributions of Numbers
39(19)
Key Terms
47(1)
Exercises
48(9)
References
57(1)
Gathering Useful Data
58(30)
Description or Decision? Using Data Wisely
59(2)
Speaking the Language of Research Studies
61(6)
Case Study 3.1: Lead Exposure and Bad Teeth
66(1)
Designing a Good Experiment
67(7)
Case Study 3.2: Kids and Weight Lifting
67(7)
Case Study 3.3: Quitting Smoking with Nicotine Patches
74(1)
Designing a Good Observational Study
74(3)
Case Study 3.4: Baldness and Heart Attacks
75(2)
Difficulties and Disasters in Experiments and Observational Studies
77(11)
Key Terms
81(1)
Exercises
82(5)
References
87(1)
Sampling: Surveys and How to Ask Questions
88(42)
The Beauty of Sampling
89(5)
Simple Random Sampling and Randomization
94(7)
Other Sampling Methods
101(6)
Difficulties and Disasters in Sampling
107(5)
Case Study 4.1: The Infamous Literary Digest Poll of 1936
112(1)
How to Ask Survey Questions
112(18)
Case Study 4.2: No Opinion of Your Own? Let Politics Decide
120(1)
Key Terms
121(1)
Exercises
121(8)
References
129(1)
Relationships Between Quantitative Variables
130(40)
Looking for Patterns with Scatterplots
132(5)
Describing Linear Patterns with a Regression Line
137(8)
Measuring Strength and Direction with Correlation
145(7)
Why the Answers May Not Make Sense
152(5)
Correlation Does Not Prove Causation
157(13)
Case Study 5.1: A Weighty Issue
159(2)
Key Terms
161(1)
Exercises
161(8)
References
169(1)
Relationships Between Categorical Variables
170(32)
Displaying Relationships Between Categorical Variables
171(4)
Risk, Relative Risk, Odds Ratio, and Increased Risk
175(3)
Misleading Statistics About Risk
178(3)
The Effect of a Third Variable and Simpson's Paradox
181(2)
Assessing the Statistical Significance of a 2 x 2 Table
183(19)
Case Study 6.1: Drinking, Driving, and the Supreme Court
192(1)
Key Terms
193(1)
Exercises
193(8)
References
201(1)
Probability
202(46)
Random Circumstances
204(2)
Case Study 7.1: A Hypothetical Story---Alicia Has a Bad Day
204(2)
Interpretations of Probability
206(5)
Probability Definitions and Relationships
211(5)
Basic Rules for Finding Probabilities
216(7)
Strategies for Finding Complicated Probabilities
223(8)
Using Simulation to Estimate Probabilities
231(3)
Coincidences and Intuitive Judgments About Probability
234(14)
Key Terms
240(1)
Exercises
240(7)
References
247(1)
Random Variables
248(44)
What Is a Random Variable?
249(2)
Discrete Random Variables
251(5)
Expectations for Random Variables
256(5)
Binomial Random Variables
261(5)
Continuous Random Variables
266(2)
Normal Random Variables
268(8)
Approximating Binomial Distribution Probabilities
276(2)
Sums, Differences, and Combinations of Random Variables
278(14)
Case Study 8.1: Does Caffeine Enhance the Taste of Cola?
284(1)
Key Terms
284(1)
Exercises
285(6)
References
291(1)
Means and Proportions as Random Variables
292(36)
Understanding Dissimilarity Among Samples
293(3)
Sampling Distributions for Sample Proportions
296(5)
What to Expect of Sample Means
301(8)
What to Expect in Other Situations: Central Limit Theorem
309(2)
Sampling Distribution for Any Statistic
311(2)
Standardized Statistics
313(1)
Student's t-Distribution: Replacing σ with s
314(2)
Statistical Inference
316(12)
Case Study 9.1: Do Americans Really Vote When They Say They Do?
317(1)
Key Terms
318(1)
Exercises
318(9)
References
327(1)
Estimating Proportions with Confidence
328(26)
The Language and Notation of Estimation
330(1)
Margin of Error
331(1)
Confidence Intervals
332(2)
Calculating a Margin of Error for 95% Confidence
334(3)
General Theory of Confidence Intervals for a Proportion
337(6)
Choosing a Sample Size for a Survey
343(1)
Using Confidence Intervals to Guide Decisions
344(10)
Case Study 10.1: Extrasensory Perception Works with Movies
345(1)
Case Study 10.2: Nicotine Patches Versus Zyban®
346(1)
Case Study 10.3: What a Great Personality
347(1)
Key Terms
348(1)
Exercises
349(4)
References
353(1)
Testing Hypotheses About Proportions
354(36)
Formulating Hypothesis Statements
356(2)
The Logic of Hypothesis Testing: What if the Null Is True?
358(2)
Reaching a Conclusion About the Two Hypotheses
360(3)
Testing Hypotheses About a Proportion
363(10)
The Role of Sample Size in Statistical Significance
373(3)
Real Importance versus Statistical Significance
376(1)
Case Study 11.1: The Internet and Loneliness: Case Study 1.7 Revisited
377(1)
What Can Go Wrong: The Two Types of Errors
377(13)
Case Study 11.2: An Interpretation of a p-Value Not Fit to Print
381(1)
Key Terms
382(1)
Exercises
382(7)
References
389(1)
More About Confidence Intervals
390(46)
Examples of Different Estimation Situations
391(3)
Standard Errors
394(5)
Approximate 95% Confidence Intervals
399(6)
General Confidence Intervals for One Mean or Paired Data
405(6)
General Confidence Intervals for the Difference Between Two Means (Independent Samples)
411(7)
The Difference Between Two Proportions (Independent Samples)
418(4)
Understanding Any Confidence Interval
422(14)
Case Study 12.1: Confidence Interval for Relative Risk: Case Study 3.4 Revisited
422(1)
Case Study 12.2: Premenstrual Syndrome? Try Calcium
423(1)
Summary of Confidence Interval Procedures
424(1)
Key Terms
424(1)
Exercises
425(10)
References
435(1)
More About Significance Tests
436(56)
The General Ideas of Significance Testing
438(1)
Testing Hypotheses About One Mean or Paired Data
439(11)
Testing the Difference Between Two Means (Independent Samples)
450(9)
Testing the Difference Between Two Population Proportions
459(5)
The Relationship Between Significance Tests and Confidence Intervals
464(3)
Choosing an Appropriate Inference Procedure
467(3)
The Two Types of Errors and Their Probabilities
470(5)
Effect Size
475(5)
Evaluating Significance in Research Reports
480(12)
Summary of Procedures for Hypothesis Tests
480(1)
Key Terms
481(1)
Exercises
481(10)
References
491(1)
More About Regression
492(34)
Sample and Population Regression Models
494(5)
Estimating the Standard Deviation for Regression
499(4)
Inference About the Linear Regression Relationship
503(4)
Predicting the Value of y for an Individual
507(3)
Estimating the Mean y at a Specified x
510(2)
Checking Conditions for Using Regression Models for Inference
512(14)
Case Study 14.1: A Contested Election
516(2)
Key Terms
518(1)
Exercises
518(7)
References
525(1)
More About Categorical Variables
526(34)
The Chi-square Test for Two-Way Tables
527(11)
Analyzing 2 x 2 Tables
538(6)
Testing Hypotheses About One Categorical Variable: Goodness of Fit
544(16)
Case Study 15.1: Do You Mind if I Eat the Blue Ones?
548(2)
Key Terms
550(1)
Exercises
550(9)
References
559(1)
Analysis of Variance
560(32)
Comparing Means with an ANOVA F-Test
561(9)
Details of One-Way Analysis of Variance
570(6)
Other Methods for Comparing Populations
576(4)
Two-Way Analysis of Variance
580(12)
Key Terms
583(1)
Exercises
584(7)
References
591(1)
Additional Discrete Random Variables
592(16)
Hypergeometric Distribution
593(5)
Poisson Distribution
598(4)
Multinomial Distribution
602(6)
Key Terms
604(1)
Exercises
604(3)
References
607(1)
Nonparametric Tests of Hypotheses
608(22)
The Sign Test
610(4)
The Two-Sample Rank-Sum Test
614(5)
The Wilcoxon Signed-Rank Test
619(3)
The Kruskal-Wallis Test
622(8)
Key Terms
625(1)
Exercises
625(5)
Multiple Regression
630(18)
The Multiple Linear Regression Model
632(6)
Inference About Multiple Regression Models
638(4)
Checking Conditions for Multiple Linear Regression
642(6)
Key Terms
644(1)
Exercises
644(3)
References
647(1)
Two-Way Analysis of Variance
648(24)
Assumptions and Models for Two-Way ANOVA
649(7)
Testing for Main Effects and Interactions
656(16)
Key Terms
668(1)
Exercises
668(3)
References
671(1)
Ethics
672(20)
Ethical Treatment of Human and Animal Participants
673(7)
Assurance of Data Quality
680(4)
Appropriate Statistical Analysis
684(2)
Fair Reporting of Results
686(6)
Case Study 21.1: Science Fair Project or Fair Science Project?
689(1)
Key Terms
690(1)
Exercises
690(1)
References
691(1)
Turning Information into Wisdom
692(19)
Beyond the Data
693(3)
Transforming Uncertainty into Wisdom
696(1)
Making Personal Decisions
697(3)
Control of Societal Risks
700(3)
Understanding Our World
703(2)
Getting to Know You
705(1)
Words to the Wise
706(5)
Exercises
708(2)
References
710(1)
Appendix of Tables 711(8)
Answers to Selected Exercises 719(14)
Index 733(15)
Credits 748

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program