Description
A scaffolded assignment where students learn the difference between quantitative and qualitative data, good and bad sampling procedures, and using information from a random sample to make an inference about a larger population. Examples are explained before students work on practice problems with answer key and sheet. Link to GOOGLE FORM included for distance learning!
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Statistics: Random Sampling and Inferences with GOOGLE FORM Distance Learning
Math for Middle School
93 Followers
$3.00
Highlights
Digital downloads
Grades
6th - 8th
Subjects
Standards
CCSS7.SP.A.1
CCSS7.SP.A.2
Tags
Pages
11
Answer Key
Included
Teaching Duration
2 hours
Description
A scaffolded assignment where students learn the difference between quantitative and qualitative data, good and bad sampling procedures, and using information from a random sample to make an inference about a larger population. Examples are explained before students work on practice problems with answer key and sheet. Link to GOOGLE FORM included for distance learning!
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.
Reviews
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Great Practice Pages
Met expectations
Great value
Standards-aligned
These were great practice pages (and the twins like the statistics overview).
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.
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