A1.3 Practice Day 2

In this Practice Day, students practice what they’ve learned so far in this unit.

By Desmos Classroom

Learning goals: Learning Goals • Interpret the parts of a box plot and use technology to represent data with a box plot. (Lesson 3) • Describe the shape of a data set using terms like bimodal, bell-shaped, skewed, symmetric, and uniform. (Lesson 4) • Explain the effect of extreme values on the mean and median. (Lesson 5) • Use statistics appropriate to the shape of the data to compare the center and spread of two data sets. (Lesson 10) • Use correlation coefficient to describe the strength and sign of the relationship between variables on a scatter plot. (Lesson 11) • Use technology to calculate the correlation coefficient of data on a scatter plot. (Lesson 11) • Use correlation coefficient to describe the strength and direction of a linear association. (Lesson 12) • Interpret the rate of change for a linear model in everyday language. (Lesson 13) • Make connections between a residual plot and residuals on a graph. (Lesson 14) • Recognize when a residual plot indicates a better or worse fit. (Lesson 14) • Use technology to generate the line of best fit for data on a scatter plot. (Lesson 15) • Use the equation of the best fit line to make predictions. (Lesson 15) • Determine if the relationship between two variables represents correlation or causation. (Lesson 16) • Analyze the relationship between two variables in context using scatter plots, lines of best fit, and correlation coefficients. (Lesson 17) Materials • Unit 3 Calculator Guide (optional)