Unit 1 Resources
Ch 2 - Categorical vs. Quantitative Variables - A good description and comparison of the two different kinds of variables
Ch 2 - "What" and "Who" - an example about finding the who and what for a problem
Ch 3 - Categorical Data - Frequency Tables - Conditional Distributions - Carefully describes how to read frequency tables and the distributions that go along with them
Ch 3 - Marginal and Conditional Distributions - Shows the difference between marginal and conditional
Ch 3 - Categorical Data - Independence from Conditional Distributions - shows an example of how to calculate independence from conditional distributions
Ch 4 - Quantitative Data - Describing the Distribution - discusses the shape, center, and spread with examples
Ch 4 - Quantitative Data - Histograms - shows how to describe the distribution from a histogram
Ch 4 - Quantitative Data - Making Stem Plots - explains how to make stem plots through several examples
Ch 5 - Quantitative Data - Box Plots - explains how to view shape, center and spread from box plots
Ch 5 - What about Outliers? - examples of calculating outliers using the five number summary
Ch 6 - Using Normal CDF - examples of using Normalcdf to calculate probabilities
Ch 6 - Finding Normal Probabilities - examples of using Normal cdf to calculate probabilities for normal models