A1.3 Unit Overview

Students analyze one-variable and two-variable data sets. They use dot plots, histograms, box plots, and measures of center and spread to compare one-variable data sets. They use scatter plots, correlation coefficients, and lines of best fit to describe two-variable data sets.

By Amplify Classroom

Grades: 9th - 12th Grade

Subject: Math

Learning goals: Section 1: Representing Categorical Data (Lessons 1–3, Optional) • Represent categorical data in two-way tables and relative frequency tables. Section 2: Summarizing One-Variable Data (Lessons 4–12 + Practice Day + Quiz) • Represent data with dot plots, histograms, and box plots. • Describe the shape, center, and spread of data. • Compare and contrast data sets using measures of center and spread appropriate to the shape of the data set and interpret the differences in context. Section 3: Summarizing Two-Variable Data (Lessons 13–19 + Practice Day) • Fit a line to data, assess the fit using residual plots, and use the linear model to make predictions. • Describe linear associations in data using the line of fit and correlation coefficient. Vocabulary bell-shaped, bimodal, causation, correlation, correlation coefficient, direction (of an association) (optional), line of best fit, lurking variable (optional), measure of center, measure of spread, quantitative data, `r`-value, residual, residual plot, skewed, standard deviation, strength (of an association) (optional), survey (optional), symmetric, table (optional), total relative frequency, uniform