Order from chaos Covers aspects of statistical theory including variation in random samples, variation in sample averages, and the sampling distribution of an average.

For all practical purposes. Statistics Program 8 focuses on exploratory data analysis, emphasizing that the human eye and brain are the best known devices to see and recognize patterns. Introduces histograms, medians, quartiles, scatterplots and boxplots. Program 9 analyzes how we can predict long-term patterns of chance events by looking at the operation of a gambling casino. Introduces elementary probability concepts along with an analysis of normal curves, standard deviation and expected value.

Against all odds Presents the why as well as the how of statistics using computer animation, colorful on-screen computations, and documentary segments.

Experimental design Covers the advantages of planned data collection over anecdotal evidence or available data. Distinguishing between observational studies and experiment, it focuses on basic design principles including comparison, randomization and replication.

Describing distributions Deals with numerical measures of specific aspects of distribution, such as center (mean, median), spread (percentiles, boxplots, standard deviation), and resistance.

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.

Blocking and sampling Covers further principles of design, including two or more factors and blocking. Topics include sample surveys, the danger of bias and random sampling.

Random variables Covers random variables, including the multiplication rule for independent events, discrete and continuous random variables, and the mean and variance of a random variable.

Picturing distributions Illustrates stemplots and histograms, demonstrating the importance of pattern deviations in examples drawn from meterology, traffic control and television programming.

Normal calculations Covers standardization and calculation of normal relative frequencies from tables, and assessment of normality by normal quantile plots. Emission standards and cholesterol studies are chosen as examples of normal calculations at work.