CK-12 Foundation's Advanced Probability and Statistics FlexBook covers the following chapters: An Introduction to Analyzing Statistical Data - Students learn definitions of statistical terminology, and review data, measures of center, and measures of spread. Visualizations of Data - histograms and frequency distributions, common graphs and data plots, and box-and-whisker plots. An Introduction to Probability - events, sample spaces, probability, compound events, the complement of an event, conditional probability, and basic counting rules. Discrete Probability Distribution - random variables, probability distribution for a discrete random variable, mean and standard deviation of discrete random variables and the Binomial Probability Distribution. Normal Distribution - standard normal probability distribution, the density curve of the normal distribution, and applications of the normal distribution. Planning and Conducting an Experiment or Study - surveys, sampling and experimental design. Sampling Distributions and Estimations - sampling distributions and the Central Limit Theorem. Hypothesis Testing - The P-value, testing a proportion hypothesis, testing a mean hypothesis, and testing a hypothesis for dependent and independent samples. Regression and Correlation - scatterplots and linear correlation, Least-Squares regression, inferences about regression, and an introduction to multiple regression. Chi-Square- the Goodness-of-Fit test, test of independence, and testing one variance. Analysis of Variance and the F-Distribution - the F-Distribution and testing two variances, the One-Way ANOVA test, and the Two-Way ANOVA test. Non Parametric Statistics - nonparametric statistics, the rank sum test and rank Correlation, and the Kruskal-Wallis test.
