Description
This page can be used after completing the 7th grade unit on Statistics. Students can add this page in their math notebook as a unit divider. Each common core statistics standard is written in an "I Can" statement to help the student understand if they accomplished the standard. Students color in if they always, sometimes, or not yet met the standard. Sheet should be printed on color paper to stick out as a divider in the student's notebook.
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Highlights
Digital downloads
Grades
6th - 8th
Subjects
Standards
CCSS7.SP.A.1
CCSS7.SP.A.2
CCSS7.SP.B.3
Pages
2
Description
This page can be used after completing the 7th grade unit on Statistics. Students can add this page in their math notebook as a unit divider. Each common core statistics standard is written in an "I Can" statement to help the student understand if they accomplished the standard. Students color in if they always, sometimes, or not yet met the standard. Sheet should be printed on color paper to stick out as a divider in the student's notebook.
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
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Standards
to see state-specific standards (only available in the US).
CCSS7.SP.A.1
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
CCSS7.SP.A.2
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
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.
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