8th Grade Common Core Statistics & Probability Assessments

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Moving Towards Mastery

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Grade Levels

8th - 10th

Subjects

Math, Statistics

Resource Type

Assessment, Printables

Standards

CCSS8.SP.A.1

CCSS8.SP.A.2

CCSS8.SP.A.3

CCSS8.SP.A.4

CCSSHSS-ID.B.5

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8 assessments + bonus levels of mastery posters

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Bonus

Levels of Mastery Posters

Also included in

8th Grade Math Common Core Growing Bundle
8th Grade Common Core Resources:Resources using Google Apps:Number System♦ Rational & Irrational Numbers: Interactive Slides, Digital Assessment♦ Understanding Pi Digital Breakout♦ Self Checking ActivitiesExpressions & Equations♦ Exponents Rules: Interactive Slides, Quiz♦ Square Roots &
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Description

Standards

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Description

This bundle includes 2 assessments for each 8th grade common core statistics and probability standard. As a bonus for buying the complete set of assessments, I have included a poster/printable for each standard addressing the levels of mastery.

Each assessment is created to determine the level of mastery of each standard.

Levels of mastery are:

→ Beginning

→ Emerging

→ Proficient

→ Advanced

The first assessment can be used for multiple purposes:

→ Pre-test

→ Study Guide

→ Reassessment

The second assessment is my primary assessment tool.

Included in the bundle is the levels of mastery posters/printables to be displayed while teaching the standards. The levels of mastery posters/printables give students a description of what is expected to move from one level of mastery to the next.

Total Pages

8 assessments + bonus levels of mastery posters

Answer Key

Included

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.B.5

Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

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