Statistical Reasoning for Everyday Life / Edition 1by Jeffrey Bennett, William Briggs, Mario Triola
Intended for social science students, this textbook explains the simple concepts of sampling, graphing, and distribution, then describes the role of probability, the interpretation of correlations, and methods for estimating population parameters and testing hypotheses. The second edition adds two sections on statistical paradoxes and hypothesis testing with two-way… See more details below
Intended for social science students, this textbook explains the simple concepts of sampling, graphing, and distribution, then describes the role of probability, the interpretation of correlations, and methods for estimating population parameters and testing hypotheses. The second edition adds two sections on statistical paradoxes and hypothesis testing with two-way tables to the last chapter. Annotation c. Book News, Inc., Portland, OR
- Pearson Education
- Publication date:
- Edition description:
- Older Edition
- Product dimensions:
- 8.57(w) x 10.71(h) x 0.25(d)
Table of Contents1. Speaking of Statistics.
What Is/Are Statistics.
Types of Statistical Study.
Should You Believe a Statistical Study?
Focus on Sociology: Does Daycare Breed Bullies?
Focus on Public Health: Is Your Lifestyle Healthy?
2. Measurement in Statistics.
Data Type and Levels of Measurement.
Dealing with Errors.
Uses of Percentages in Statistics.
Focus on Politics: Who Benefits from a Tax Cut?
Focus on Economics: Does the Consumer Price Index Really Measure Inflation?
3. Visual Displays of Data.
Picturing Distributions of Data.
Graphics in the Media.
A Few Cautions about Graphics.
Focus on History: Can War Be Described with a Graph?
Focus on Environment: How Much Carbon Dioxide Is in the Atmosphere?
4. Describing Data.
What is Average?
Shapes of Distributions.
Measures of Variation.
Focus on Stock Market: What's Average about the Dow?
Focus on Economics: Are the Rich Getting Richer?
5. A Normal World.
What is Normal?
Properties of the Normal Distribution.
The Central Limit Theorem.
Focus on Education: What Do SAT Scores Mean?
Focus on Psychology: Are We Smarter Than Our Parents?
6. Probability in Statistics.
The Role of Probability in Statistics: Statistical Significance.
Basics in Probability.
Probabilities with Large Numbers.
Focus on Social Science: Are Lotteries Fair?
Focus on Law: Is DNA Fingerprinting Reliable?
7. Correlation and Causality.
Best-Fit Lines and Prediction.
The Search for Causality.
Focus on Education: What Helps Children Read?
Focus on Public Health: What Do Disease Clusters Mean?
8. From Samples to Populations.
Estimating Population Means.
Estimating Population Proportions.
Focus on Media: Did NBC Lose $66 Million to a Nielsen Sampling Error?
Focus on Literature: How Many Words Did Shakespeare Know?
9. Hypothesis Testing.
Fundamentals of Hypothesis Testing.
Setting Up Hypothesis Tests.
Hypothesis Tests for Population Means.
Hypothesis Testing: Further Considerations.
Hypothesis Testing: Population Proportions.
Focus on History: Where Did Statistics Begin?
Focus on Agriculture: Are Genetically Modified Foods Safe?
10. Further Applications of Statistics.
Ideas of Risk and Life Expectancy.
Hypothesis Testing with Two-Way Tables.
Focus on Criminology: Can You Tell a Fraud When You See One?
Focus on Education: What Can a Fourth Grader Do with Statistics?
Appendix: State Data.
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