Statistical Reasoning for Everyday Life
Published on 22. February 2001
Book
Paperback/Softback
529 pages
978-0-201-61488-6 (ISBN)
Description
This book is intended for use in the statistical literacy course or an introductory statistics course that emphasizes concepts over computation. The goal is to give students a conceptual understanding of statistics and develop their statistical reasoning skills. This text approaches statistics by presenting an overall picture and then providing explanation of the topics in context. Students develop an understanding of statistics that is reinforced in the exercises and web projects, and by doing some computation.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 231 mm
Width: 204 mm
Thickness: 20 mm
Weight
941 gr
ISBN-13
978-0-201-61488-6 (9780201614886)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Jeffrey O. Bennett | William L. Briggs | Mario F. Triola
Statistical Reasoning for Everyday Life
Book
01/2003
2nd Edition
Pearson
€56.94
Article exhausted; check for reprint
Content
(Each chapter ends with Focus sections.)
1. Speaking of Statistics.
What Is/Are Statistics?
Sampling.
Types of Statistical Study.
Should You Believe a Statistical Study?
2. Measurement in Statistics.
Data Types and Levels of Measurement.
Dealing with Errors.
Uses and Abuses of Percentages in Statistics.
Index Numbers.
3. Visual Displays of Data.
Frequency Tables.
Picturing Distributions of Data.
Graphics in the Media.
A Few Cautions About Graphics.
4. Describing Data.
What is Average?
Shapes of Distributions.
Measures of Variation.
5. A Normal World.
What is Normal?
Properties of the Normal Distribution.
The Central Limit Theorem.
6. Probability in Statistics.
Statistical Significance.
Basics of Probability.
In the Long Run, What Do You Expect?
Assessing Risk.
Rules for Combining Probabilities.
7. Correlation and Causality.
Seeking Correlation.
Interpreting Correlations.
Best-Fit Lines and Prediction.
The Search for Causality.
8. From Samples to Populations.
Sampling Distributions.
Estimating Population Means.
Estimating Population Proportions.
9. Hypothesis Testing.
Fundamentals of Hypothesis Testing.
Setting Up Hypothesis Tests.
Hypothesis Tests for Population Means.
Hypothesis Testing: Further Consideration.
Hypothesis Testing: Population Proportions.
10. Relationships in Tables.
Understanding Two-Way Tables.
Hypothesis Testing with Two-Way Tables.
Risk, Paradox, and Probability.
1. Speaking of Statistics.
What Is/Are Statistics?
Sampling.
Types of Statistical Study.
Should You Believe a Statistical Study?
2. Measurement in Statistics.
Data Types and Levels of Measurement.
Dealing with Errors.
Uses and Abuses of Percentages in Statistics.
Index Numbers.
3. Visual Displays of Data.
Frequency Tables.
Picturing Distributions of Data.
Graphics in the Media.
A Few Cautions About Graphics.
4. Describing Data.
What is Average?
Shapes of Distributions.
Measures of Variation.
5. A Normal World.
What is Normal?
Properties of the Normal Distribution.
The Central Limit Theorem.
6. Probability in Statistics.
Statistical Significance.
Basics of Probability.
In the Long Run, What Do You Expect?
Assessing Risk.
Rules for Combining Probabilities.
7. Correlation and Causality.
Seeking Correlation.
Interpreting Correlations.
Best-Fit Lines and Prediction.
The Search for Causality.
8. From Samples to Populations.
Sampling Distributions.
Estimating Population Means.
Estimating Population Proportions.
9. Hypothesis Testing.
Fundamentals of Hypothesis Testing.
Setting Up Hypothesis Tests.
Hypothesis Tests for Population Means.
Hypothesis Testing: Further Consideration.
Hypothesis Testing: Population Proportions.
10. Relationships in Tables.
Understanding Two-Way Tables.
Hypothesis Testing with Two-Way Tables.
Risk, Paradox, and Probability.