Scatter Plots and Two Way Tables Posters Set for 8th Grade Math Word Wall
8th Grade Math Teacher
3k Followers
Grade Levels
8th - 9th
Subjects
Resource Type
Standards
CCSS8.SP.A.1
CCSS8.SP.A.2
CCSS8.SP.A.3
CCSS8.SP.A.4
CCSSHSS-ID.A.3
Formats Included
- PDF
Pages
16 pages
8th Grade Math Teacher
3k Followers
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Description
Make the vocabulary visible and accessible for your students! This set of 12 printable vocabulary posters provides visuals and reminders for your students to reference during your Bivariate Data unit. Display these on your word wall while teaching scatter plots and two-way tables!
The following vocabulary terms are included:
- scatter plot
- positive association or positive correlation
- negative association or negative correlation
- no association or no correlation
- linear association
- nonlinear association
- outlier
- cluster
- line of best fit or trend line or linear model
- slope-intercept form
- two-way table
- relative frequency
They are black and white and can be printed on card stock from your own printer. Or you can print them as large as 18" x 24" to use as 8th grade math anchor charts.
Help your students by hanging these up during your Statistics and Data unit (or all year long)!
>>>This set if part of the 8th Grade Math Vocabulary Posters Full Year Bundle.<<<
Teaching online? Check out these posters in the Scatter Plots & Two-Way Tables Virtual Word Wall.
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Total Pages
16 pages
Answer Key
N/A
Teaching Duration
N/A
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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.
CCSS8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
CCSSHSS-ID.A.3
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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