Sixth Grade Math Practice Bundle | CCSS Task Cards| Scoot Fun

Description

Are you looking for an engaging way to review some basic math skills? These task cards review a number of common core standards. They can be used in centers or for scoot. Scoot is a great way to review-movement is a plus and it adds to the fun of any game. All cards, worksheets and answer keys are provided. Directions for the game is provided. The cards have engaging themes. I've included something for the fall, Thanksgiving, Christmas, and Valentine's Day.

Skills included:

Theoretical Probability

Rewriting the Integers in Order

Solving Equations Using All 4 Operations

Writing the Algebraic Expression

Adding Decimals to Thousandths

Write and Solve Equations

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Sixth Grade Math Practice Bundle | CCSS Task Cards| Scoot Fun

Name: Sixth Grade Math Practice Bundle | CCSS Task Cards| Scoot Fun
Brand: Linda McCormick
SKU: 3900444
Price: 12.00 USD
Availability: InStock

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Highlights

Digital downloads

PDF

Grades

6th - 7th

Subjects

Algebra, Basic Operations

Standards

CCSS6.SP.A.1

CCSS6.SP.B.5a

CCSS7.SP.B.3

Bonus

General Directions for Scoot

Description

Skills included:

Theoretical Probability

Rewriting the Integers in Order

Solving Equations Using All 4 Operations

Writing the Algebraic Expression

Adding Decimals to Thousandths

Write and Solve Equations

Report this resource to TPT

Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

Standards

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

CCSS6.SP.A.1

Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.

CCSS6.SP.B.5a

Reporting the number of observations.

CCSS7.SP.B.3

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.