Statistics plus MyStatLab Student Access Kit / Edition 3

Statistics plus MyStatLab Student Access Kit / Edition 3

by Alan Agresti, Christine A. Franklin
     
 

ISBN-10: 0321891953

ISBN-13: 9780321891952

Pub. Date: 08/23/2012

Publisher: Pearson

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID,

…  See more details below

Overview

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.

Packages

Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase.

Used or rental books

If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.

Access codes

Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.

--

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Read More

Product Details

ISBN-13:
9780321891952
Publisher:
Pearson
Publication date:
08/23/2012
Edition description:
Older Edition
Sales rank:
293,523
Product dimensions:
11.00(w) x 8.80(h) x 1.30(d)

Table of Contents

Part 1: Gathering and Exploring Data

1. Statistics: The Art and Science of Learning from Data

1.1 Using Data to Answer Statistical Questions

1.2 Sample Versus Population

1.3 Using Calculators and Computers

Chapter Summary

Chapter Problems

2. Exploring Data with Graphs and Numerical Summaries

2.1 Different Types of Data

2.2 Graphical Summaries of Data

2.3 Measuring the Center of Quantitative Data

2.4 Measuring the Variability of Quantitative Data

2.5 Using Measures of Position to Describe Variability

2.6 Recognizing and Avoiding Misuses of Graphical Summaries

Chapter Summary

Chapter Problems

3. Association: Contingency, Correlation, and Regression

3.1 The Association Between Two Categorical Variables

3.2 The Association Between Two Quantitative Variables

3.3 Predicting the Outcome of a Variable

3.4 Cautions in Analyzing Associations

Chapter Summary

Chapter Problems

4. Gathering Data

4.1 Experimental and Observational Studies

4.2 Good and Poor Ways to Sample

4.3 Good and Poor Ways to Experiment

4.4 Other Ways to Conduct Experimental and Nonexperimental Studies

Chapter Summary

Chapter Problems

Part 1 Review

Part 1 Questions

Part 1 Exercises

Part 2: Probability, Probability Distributions, and Sampling Distributions

5. Probability in Our Daily Lives

5.1 How Probability Quantifies Randomness

5.2 Finding Probabilities

5.3 Conditional Probability: The Probability of A Given B

5.4 Applying the Probability Rules

Chapter Summary

Chapter Problems

6. Probability Distributions

6.1 Summarizing Possible Outcomes and Their Probabilities

6.2 Probabilities for Bell-Shaped Distributions

6.3 Probabilities When Each Observation Has Two Possible Outcomes

Chapter Summary

Chapter Problems

7. Sampling Distributions

7.1 How Sample Proportions Vary Around the Population Proportion

7.2 How Sample Means Vary Around the Population Mean

7.3 The Binomial Distribution Is a Sampling Distribution (Optional)

Chapter Summary

Chapter Problems

Part 2 Review

Part 2 Questions

Part 2 Exercises

Part 3: Inferential Statistics

8. Statistical Inference: Confidence Intervals

8.1 Point and Interval Estimates of Population Parameters

8.2 Constructing a Confidence Interval to Estimate a Population Proportion

8.3 Constructing a Confidence Interval to Estimate a Population Mean

8.4 Choosing the Sample Size for a Study

8.5 Using Computers to Make New Estimation Methods Possible

Chapter Summary

Chapter Problems

9. Statistical Inference: Significance Tests about Hypotheses

9.1 Steps for Performing a Significance Test

9.2 Significance Tests about Proportions

9.3 Significance Tests about Means

9.4 Decisions and Types of Errors in Significance Tests

9.5 Limitations of Significance Tests

9.6 The Likelihood of a Type II Error (Not Rejecting H0, Even Though It’s False)

Chapter Summary
Chapter Problems

10. Comparing Two Groups

10.1 Categorical Response: Comparing Two Proportions

10.2 Quantitative Response: Comparing Two Means

10.3 Other Ways of Comparing Means and Comparing Proportions

10.4 Analyzing Dependent Samples

10.5 Adjusting for the Effects of Other Variables

Chapter Summary
Chapter Problems

Part 3 Review

Part 3 Questions

Part 3 Exercises

Part 4: Analyzing Association and Extended Statistical Methods

11. Analyzing the Association Between Categorical Variables

11.1 Independence and Association

11.2 Testing Categorical Variables for Independence

11.3 Determining the Strength of the Association

11.4 Using Residuals to Reveal the Pattern of Association

11.5 Small Sample Sizes: Fisher’s Exact Test

Chapter Summary
Chapter Problems

12. Analyzing the Association Between Quantitative Variables: Regression Analysis

12.1 Model How Two Variables Are Related

12.2 Describe Strength of Association

12.3 Make Inference About the Association

12.4How the Data Vary Around the Regression Line

12.5 Exponential Regression: A Model for Nonlinearity

Chapter Summary
Chapter Problems

13. Multiple Regression

13.1 Using Several Variables to Predict a Response

13.2 Extending the Correlation and R-squared for Multiple Regression

13.3 Using Multiple Regression to Make Inferences

13.4 Checking a Regression Model Using Residual Plots

13.5 Regression and Categorical Predictors

13.6 Modeling a Categorical Response

Chapter Summary
Chapter Problems

14. Comparing Groups: Analysis of Variance Methods

14.1 One-Way ANOVA: Comparing Several Means

14.2 Estimating Differences in Groups for a Single Factor

14.3 Two-Way ANOVA

Chapter Summary
Chapter Problems

15. Nonparametric Statistics

15.1 Compare Two Groups by Ranking

15.2 Nonparametric Methods For Several Groups and for Matched Pairs

Chapter Summary
Chapter Problems

PART 4 Review

Part 4 Questions

Part 4 Exercises

Tables

Answers

Index

Index of Applications

Photo Credits

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >