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Elementary Statistics : Picturing the World,9780132424332
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Elementary Statistics : Picturing the World

by ;
Edition:
4th
ISBN13:

9780132424332

ISBN10:
0132424339
Format:
Hardcover w/CD
Pub. Date:
1/1/2009
Publisher(s):
Prentice Hall
List Price: $155.20

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Summary

For algebra-based Introductory Statistics courses. Offering the most accessible approach to statistics, with a strong visual/graphical emphasis, this book offers a vast number of examples on the premise that students learn best by "doing". The fourth edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking in addition to calculations. This emphasis on "statistical literacy" is reflective of the GAISE recommendations.

Table of Contents

(Note: Each chapter begins with Where You've Been and Where You're Going sections and concludes with Uses and Abuses, Chapter Summary, Review Exercises, Chapter Quiz, Real Statistics-Real Decisions Putting it all Together, and Technology sections.)
Introduction to Statistics
An Overview of Statistics
Data Classification
Case Study: Rating Television Shows in the United States
Experimental Design
Descriptive Statistics
Frequency Distributions and Their Graphs
More Graphs and Displays
Measures of Central Tendency
Measures of Variation
Case Study: Earnings of Athletes
Measures of Position
Probability
Basic Concepts of Probability
Conditional Probability and the Multiplication Rule
The Addition Rule
Case Study: Probability and Parking Lot Strategies
Additional Topics in Probability and Counting
Discrete Probability Distributions
Probability Distributions
Binomial Distributions
Case Study: Binomial Distribution of Airplane Accidents
More Discrete Probability Distributions
Normal Probability Distributions
Introduction to Normal Distributions and the Standard Normal Distribution
Normal Distributions: Finding Probabilities
Normal Distributions: Finding Values.Case Study: Birth Weights in America
Sampling Distributions and The Central Limit Theorem
Normal Approximations to Binomial Distributions
Confidence Intervals
Confidence Intervals for the Mean (Large Samples)
Case Study: Shoulder Heights of Appalachian Black Bears
Confidence Intervals for the Mean (Small Samples)
Confidence Intervals for Population Proportions
Confidence Intervals for Variance and Standard Deviation
Hypothesis Testing with One Sample
Introduction to Hypothesis Testing
Hypothesis Testing for the Mean (Large Samples)
Case Study: Human Body Temperature: What's Normal? Hypothesis Testing for the Mean (Small Samples)
Hypothesis Testing for Proportions
Hypothesis Testing for the Variance and Standard Deviation
Hypothesis Testing with Two Samples
Testing the Difference Between Means (Large Independent Samples)
Case Study: Oatbran and Cholesterol Level
Testing the Difference Between Means (Small Independent Samples)
Testing the Difference Between Means (Dependent Samples)
Testing the Difference Between Proportions
Correlation and Regression
Correlation
Linear Regression
Case Study: Correlation of Body Measurements
Measures of Regression and Prediction Intervals
Multiple Regression
Chi-Square Tests and the F-Distribution
Goodness of Fit
Independence
Case Study: Traffic Safety Facts
Comparing Two Variances
Analysis of Variance
Nonparametric Tests
The Sign Test
The Wilcoxon Tests
Case Study: Health and Nutrition
The Kruskal-Wallis Test
Rank Correlation
Runs Test
Alternative Presentation of the Standard Normal Distribution
Standard Normal Distribution Table (0-to-z)
Alternate Presentation of the Standard Normal Distribution
Tables
Table of Contents provided by Publisher. All Rights Reserved.


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