# 8th Grade STATISTICS & PROBABILITY Assessments (8.SP) Common Core | Digital

7th - 9th, Homeschool
Subjects
Standards
Resource Type
Formats Included
• PDF
Pages
6 pages
The Teacher-Author indicated this resource includes assets from Google Workspace (e.g. docs, slides, etc.).

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### Description

Assess your students' understanding of the 8th Grade STATISTICS & PROBABILITY (8.SP) Common Core.

What is included:

► a 1-page quick assessment for EVERY standard in the STATISTICS & PROBABILITY domain for 8th grade

► a CLASS TRACKING SHEET to look at all of your students progress at a glance

Print and Digital (updated September 2020)

✔️ PRINT VERSION - a PDF file that you may PRINT

✔️ DIGITAL VERSION - made with Google Slides. Students type their answers directly on the slides in the provided text boxes. This is perfect for GOOGLE Classroom, remote learning, or distance learning.

How to use:

Being a math teacher myself, I created this resource to assess my students on each standard of the curriculum. This resource can be used as homework, assessments, test prep, group work or math centers! Each page (standard) has 5 questions. Be sure to download the sample for a full overview of what you get.

Common Core Aligned:

* 8.SP.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.

* 8.SP.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.

* 8.SP.3 - Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

* 8.SP.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.

This resource is included in the following BUNDLES:

More Standard-Based Assessments:

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LICENSING TERMS: This purchase includes a license for one teacher only for personal use in their classroom. Licenses are non-transferable, meaning they can not be passed from one teacher to another. No part of this resource is to be shared with colleagues or used by an entire grade level, school, or district without purchasing the proper number of licenses. If you are a coach, principal, or district interested in transferable licenses to accommodate yearly staff changes, please contact me for a quote at exceedingthecore@gmail.com.

COPYRIGHT TERMS: This resource may not be uploaded to the internet in any form, including classroom/personal websites or network drives, unless the site is password protected and can only be accessed by students.Violations are subject to the penalties of the Digital Millennium Copyright Act.

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Total Pages
6 pages
Included
Teaching Duration
1 Year
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### Standards

to see state-specific standards (only available in the US).
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.
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.
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.
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?