Statistics & Probability Lesson Integrated with Classroom Management

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Moore Resources
Grade Levels
6th - 9th, Homeschool
Resource Type
Formats Included
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9 pages
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Moore Resources


Start a project while you teach other units and Engage Middle School Students! ★ This project can be modified for any grade learning about statistics, data, probability, graphing, and scatter plots, yet is perfect for middle school math.


★ ★ ★ This is a 2 month 5 minute mini-lessons PLUS 3 full days in class based on Statistics and Probability that Engages students and assists with classroom management! ★ ★ ★


Included are 4 pages of instructions and student sheets with 3 pages of the excel spreadsheets on how students complete this lesson and collect data they will need to do the project.

Students incorporate their own data into a lesson on Statistics, Probability, Data, and Scatterplots. The students actually graph and discuss their data collection they have completed over a 2 month time frame and answer questions regarding the lesson (question sheet included). They use their own graph paper and create the scatterplot graph themselves. Graph paper is not included.

Classroom Management is also incorporated into this lesson encouraging students to "Get Ready" in a certain time frame! An excellent way to engage students. Many of my students who took 'a long time' to get their materials showed huge improvements when we did this lesson. They became totally engaged in knowing their data daily and improving it on a daily basis.

Meets Common Core Standards while ENGAGING students.
8.SP.A.1 • 8.SP.A.2 • 8.SP.A.3 • 8.SP.A.4


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Total Pages
9 pages
Answer Key
Does not apply
Teaching Duration
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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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