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Measures of Center and Variation *Aligned to CCSS 7.SP3 & 7.SP.4

Rated 4.86 out of 5, based on 41 reviews
4.9 (41 ratings)
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Katie May
805 Followers
Grade Levels
6th - 8th
Subjects
Standards
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Katie May
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  1. Provide your class with anchor charts, standards posters and task cards for every 7th Grade Statistics and Probability standard. The task card activities are great for individual, small group, or whole group instruction and review. Questions about drawing inferences from random samples, measures of
    Price $18.00Original Price $20.00Save $2.00

Description

Get your students engaged with this set of 20 task cards! The set is aligned with common core standard 7.SP.3&4 which can be easily printed using the standard poster. Students can use the 2 content posters to help them determine how to identify and solve measures of center and variation using different strategies when solving the 20 task cards.

Task Cards are a great way to incorporate collaborative learning (partners, peer tutors, etc) and assess learning. After students complete the activity, allow students to check their own answers and then share whole group common misconceptions or errors. This will continue to place the focus on learning in your classroom.

You can use these task cards two different ways. The first way is the traditional task cards, in which you can use as a whole group, station, review or remediation. The other way is geared to the 21st century learner~QR Codes. There are two student response pages and two answer sheets (traditional and 21st Century). This provides immediate feedback for the students to correct their mistakes.

My students LOVE solving these task cards because they are geared for the 21st century, using QR codes for the problems

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Last updated Jun 28th, 2015
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Standards

to see state-specific standards (only available in the US).
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.

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805 Followers