Title: Statistical reasoning for everyday life /
Authors: Bennett, Jeffrey O.; Briggs, William L.; Triola, Mario F.
Publisher: Addison-Wesley,
Year: 2003
Subjects: Statistics
Contents: Speaking of statistics (What is/are statistics? -- Sampling -- Types of statistical study -- Should you believe a statistical study?) -- Measurement in statistics (Data types and levels of measurement -- Dealing with errors -- Uses of percentages in statistics -- Index numbers) -- Visual displays of data (Frequency tables -- Picturing distributions of data -- Graphics in the media -- A few cautions about graphics) -- Describing data (What is average? -- Shapes of distributions -- Measures of variation) -- A normal world (What is normal? -- Properties of the normal distribution -- The central limit theorem) -- Probability in statistics (The role of probability in statistics : statistical significance -- Basics of probability -- Probabilities with large numbers -- Combining probabilities) -- Correlation and causality (Seeking correlation -- Interpreting correlations -- Best-fit lines and prediction -- The search for causality) -- From samples to populations (Sampling distributions -- Estimating population means -- Estimating population proportions) -- Hypothesis testing (Fundamentals of hypothesis testing -- Setting up hypothesis tests -- Hypothesis tests for population means -- Hypothesis testing : further considerations -- Hypothesis testing : population proportions) -- Further applications of statistics (Ideas of risk and life expectancy -- Statistical paradoxes -- Hypothesis testing with two-way tables).