Course: Understanding Interpreting Categorical & Quantitative Data Standards (Alg I) - Part A
Course Description
Many teachers are being asked to teach statistics within traditional integrated math or algebra courses. The purpose of this module is to help introduce teachers to the A substrand of the CCSS "Interpreting Categorical & Quantitative Data" strand and ideas for their classroom introduction. Concepts covered will include categorical data/graphs, quantitative data/graphs, and graphical analysis.
Knowledge
Understand the difference between categorical and quantitative data
Understand appropriate statistical displays for categorical and quantitative data
Understand the calculations for measures of center and spread and their implications
Understand the implications of a distribution's shape on measures of center and spread
Understand effects of skewness and outliers on a distribution
Skills
Compose and analyze high-quality statistical graphs for quantitative data
Appropriately describe distributions according to their center, shape, and spread
Compare distributions using appropriate language and measures of center/spread
Mindsets
Understand the relationship between all types of quantitative univariate graphs
Understand the implications of a distribution's shape on appropriate measures of center and spread
Understand the implications of the 5-number summary on the boxplot