Statistics Review Game

Rated 5 out of 5, based on 14 reviews
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Free to Discover
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Grade Levels
8th
Resource Type
Standards
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  • Google Apps™
$3.25
$3.25
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Description

Students work in cooperative groups to practice identifying and describing correlation given a scatter plot, determining an appropriate trend line, writing an equation for a trend line, identifying and describing the meaning of an outlier, classifying a graph as linear or nonlinear, completing a two-way categorical table, determining relative frequencies given a two-way table, and identifying trends in a two-way table. In this interactive statistics review BINGO game, students will work as teams to review "Statistics & Probability" eighth grade Common Core State Standards.

Included:

-18 PPT slides (each with 1 question & answer)

-BINGO board

-Number cards 1-24

-Teacher's Guide with Instructions

-Google Slides version

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Copyright Information and Terms of Use:

The purchase of this product entitles a single user to reproduce the resource for classroom use only. Discounted additional licenses can be purchased if you wish to share with other teachers. The product is for educational use only. The product may not be used for commercial purposes or resold in any form. It cannot be uploaded to the Internet, with the exception of password-protected school websites.

© Free to Discover (Amanda Nix)

Total Pages
Answer Key
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Teaching Duration
45 minutes
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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?

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