9780321287199

Student Solutions Manual

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  • ISBN13:

    9780321287199

  • ISBN10:

    0321287193

  • Format: Paperback
  • Copyright: 3/1/2005
  • Publisher: Pearson College Div
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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.

Summary

Provides detailed, worked-out solutions to odd-numbered exercises.

Table of Contents

Part I Exploring and Understanding Data
Data
1(3)
Displaying and Describing Categorical Data
4(9)
Displaying Quantitative Data
13(6)
Describing Distributions Numerically
19(9)
The Standard Deviation as a Ruler and the Normal Model
28(22)
Review of Part I Exploring and Understanding Data
40(10)
Part II Exploring Relationships Between Variables
Scatterplots, Association, and Correlation
50(5)
Linear Regression
55(11)
Regression Wisdom
66(9)
Re-expressing Data: It's Easier Than You Think
75(19)
Review of Part II Exploring Relationships Between Variables
85(9)
Part III Gathering Data
Understanding Randomness
94(4)
Sample Surveys
98(4)
Experiments
102(14)
Review of Part III Gathering Data
110(6)
Part IV Randomness and Probability
From Randomness to Probability
116(5)
Probability Rules!
121(8)
Random Variables
129(6)
Probability Models
135(22)
Review of Part IV Randomness and Probability
147(10)
Part V From the Data at Hand to the World at Large
Sampling Distribution Models
157(11)
Confidence Intervals for Proportion
168(7)
Testing Hypotheses About Proportions
175(7)
More About Tests
182(6)
Comparing Two Proportions
188(19)
Review of Part V From the Data at Hand to the World at Large
198(9)
Part VI Learning About the World
Inferences About Means
207(9)
Comparing Means
216(9)
Paired Samples and Blocks
225(20)
Review of Part VI Learning About the World
234(11)
Part VII Inference When Variables are Related
Comparing Counts
245(11)
Inferences for Regression
256(24)
Review of Part VII Inference When Variables are Related
267(13)
Analysis of Variance
280(5)
Multiple Regression
285

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