Description
This is a final project for an 8th grade Statistics and Probability Unit on scatter plots and bivariate data. It follows the 8th grade CCSS. Students will create and carry-out a survey, make a table and scatterplot to show the data, and then analyze their data and create an equation for a line of best fit if applicable.
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Highlights
Digital downloads
Grades
8th
Subjects
Standards
CCSS8.SP.A.1
CCSS8.SP.A.2
CCSS8.SP.A.3
Tags
Pages
1
Teaching Duration
1 Week
Description
This is a final project for an 8th grade Statistics and Probability Unit on scatter plots and bivariate data. It follows the 8th grade CCSS. Students will create and carry-out a survey, make a table and scatterplot to show the data, and then analyze their data and create an equation for a line of best fit if applicable.
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.
Reviews
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This was a great ready-to-use end of unit project to tie together main concepts in bivariate data and give my students a break from tests for a change. I had been thinking of writing something like this, but having the whole description and rubric ready to go was a huge time saver.
My students loved this resource. It kept them engaged and it worked well.
Great resource! Easy to use and made my life so much easier!
This was a great resource to use for my classes!!!
The students enjoyed collecting data and asking each other and their teachers questions. It got them up and moving around as well. The project is easily laid out for you.
Questions & Answers
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Standards
to see state-specific standards (only available in the US).
CCSS8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
CCSS8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
CCSS8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
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