Students generate and represent sets of bivariate data. They learn to use the appropriate terms including cluster, outlier, association when interpreting a scatter plot or data representation. Also, students will apply lines to the data, informally assess the quality of their fit with the data points and use the lines of best fit to make predictions.
PACING = 3 weeks
⊡ Students will make sense of and construct scatterplots. (8.SP.1) (MP.2, MP.4)
I can construct and interpret a scatter plot. (8.SP.1)
I can recognize clusters and outliers in a scatter plot. (8.SP.1)
I can recognize a pattern as having a positive or negative association. (8.SP.1)
I can recognize a pattern as having a linear or nonlinear association. (8.SP.1)
I can compare patterns of association between two quantities. (8.SP.1)
⊡ Students will reason quantitatively to model bivariate data with a straight line. (8.SP.2, 8.SP.3) (MP.2, MP.4, MP.7)
I can informally construct a line of best fit. (8.SP.2)
I can assess the data by comparing the data points to the line of best fit. (8.SP.2)
I can create an equation for a linear model. (8.SP.3)
I can use the equation of a linear model to solve bivariate measurement data problems. (8.SP.3)
I can use the equation of a linear model to interpret the slope and the intercept. (8.SP.3)
⊡ Students will collect and analyze data, model the data by constructing a table, and reason abstractly and quantitatively when interpreting the data. (8.SP.4) (MP.2, MP.3, MP.4, MP.7)
I can construct a two-way table. (8.SP.4)
I can interpret a two-way table. (8.SP.4)
I can calculate relative frequencies in a two-way table. (8.SP.4)
I can use relative frequencies to describe association between two variables. (8.SP.4)
∎ Major Content ⊡ Supporting Content 🌕 Additional Content
New Vocab: association (between two variables), balance point, bivariate, line of fit, linear association, negative association, no association, nonlinear association, positive association, scatter plot, catagorical data, two-way table, relative frequency , trend, outlier, cluster
Review Vocab: data, estimate (noun), estimate (verb), slope, y-intercept, data, frequency, percent, random sample, model, row, column,
Academic Vocab: shape (of data), analyze, interpret, predict, category, cell, survey, likelihood, random
*The computational strategies that you practice during number talks does NOT have to align with the core math content. Number talks are meant to practice fluency strategies, not teach new content.
I can construct and interpret a scatter plot. (8.SP.1)
I can recognize clusters and outliers in a scatter plot. (8.SP.1)
I can recognize a pattern as having a positive or negative association. (8.SP.1)
I can recognize a pattern as having a linear or nonlinear association. (8.SP.1)
I can compare patterns of association between two quantities. (8.SP.1)
I can informally construct a line of best fit. (8.SP.2)
I can assess the data by comparing the data points to the line of best fit. (8.SP.2)
Ready Teacher Toolbox Lesson 29: Analyze Scatter Plots and Fit a Linear Model to Data-Sessions 1-5
Assessment Tasks UPDATED 8th gr assessments 8.SP.1 8.SP.2 IAR sample questions 8.SP.1 8.SP.2 Proficiency Rubrics 8.SP.1, 8.SP.2
Prior knowledge/Just in Time support & Enrichment RTTB Lesson 29: Geometric Association
Nearpod Math lessons Open Middle tasks
Interactive manipulatives
Ready Teacher Toolbox Lesson 30: Write and Analyze an Equation for Fitting a Linear Model to Data -Sessions 1-4
Assessment Tasks UPDATED 8th gr assessments 8.SP.3 Proficiency Rubrics SP.3 IAR sample questions 8.SP.3
Prior knowledge/Just in Time support & Enrichment RTTB Lesson 30: Elephant Pics
Nearpod Math lessons Open Middle tasks
Interactive manipulatives
Ready Teacher Toolbox Lesson 31: Understand Two-Way Tables -Sessions 1-3
Lesson 32: Construct and Interpret Two-Way Tables -Sessions 1-4
Assessment Tasks UPDATED 8th gr assessments 8.SP.4 IAR sample questions 8.SP.4 Proficiency Rubrics 8.SP.4
Prior knowledge/Just in Time support & Enrichment RTTB Lesson 31: To Dance or Not to Dance & Lesson 32: Trees Under Attack
Nearpod Math lessons Open Middle tasks
Interactive manipulatives
“Closure in a lesson does not mean to pack up and move on. Rather, it is a cognitive activity that helps students focus on what was learned and whether it made sense and had meaning.” How the Brain Learns Mathematics (2007) P. 104
There are many ways to wrap up and reflect the day's activities but this step is often overlooked or rushed. Purposely plan and allow time for students to have closure each day (even if it means setting a timer or daily alarm so you don't run out of time).
Ideas for closure activities