Statistical Reasoning for Everyday Life

1. Speaking of Statistics. What Is/Are Statistics. Sampling. 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. Index Numbers. 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. Frequency Tables. 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. Combining Probabilities. Focus on Social Science: Are Lotteries Fair? Focus on Law: Is DNA Fingerprinting Reliable? 7. Correlation and Causality. Seeking Correlation. Interpreting Correlations. 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. Sampling Distribution. Estimating PopulaBennett, Jeffrey O. is the author of 'Statistical Reasoning for Everyday Life', published 2002 under ISBN 9780201771282 and ISBN 0201771284.