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
Students explore and learn about histograms and frequency distributions, common graphs and data plots, and box-and-whisker plots.
An Introduction to Probability
Students explore and learn about events, sample spaces, probability, compound events, the complement of an event, conditional probability, and basic counting rules.
Discrete Probability Distribution
Students explore and learn about two types of random variables, probability distribution for a discrete random variable, mean and standard deviation of discrete random variables and the Binomial Probability Distribution.
Students explore and learn about the standard normal probability distribution, the density curve of the normal distribution, and applications of the normal distribution.
Planning and Conducting an Experiment or Study
Students explore and learn about surveys, sampling and experimental design.
Sampling Distributions and Estimations
This chapter covers sampling distributions and the Central Limit Theorem.
Students explore and learn about hypothesis testing and the P-value, testing a proportion hypothesis, testing a mean hypothesis, and testing a hypothesis for dependent and independent samples.
Regression and Correlation
Students explore and learn about scatterplots and linear correlation, Least-Squares regression, inferences about regression, and an introduction to multiple regression.
Students explore and learn about the Goodness-of-Fit test, test of independence, and testing one variance.
Analysis of Variance and the F-Distribution
Students explore and learn about the F-Distribution and testing two variances, the One-Way ANOVA test, and the Two-Way ANOVA test.
Students explore nonparametric statistics, the rank sum test and rank Correlation, and the Kruskal-Wallis test.