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For all practical purposes. Statistics Focuses on the concept of a confidence interval and describes precisely what opinion polls do and do not tell us.
Confidence intervals Deals with the reasoning behind confidence intervals, z-intervals for the mean of a normal distribution, and the behavior of confidence intervals. Examples are chosen from population surveys to demonstrate how margin of error and confidence levels are interpreted.
Inference for two-way tables Covers the chi-square test for independence/equal distributions in two-way tables.
Confident conclusions Program 10 compares formal statistical inference, as opposed to exploratory data analysis, based on calculations of probability. Defines confidence intervals and demonstrates how to find a 95% confidence interval for a population proportion p. Application examples are drawn from a health study, manufacturing, and Gallup poll interviews.