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Sampling Distribution Quiz (version A)
Sampling Distribution Quiz (version A)
Sampling Distribution Quiz (version A)
Sampling Distribution Quiz (version A)
Sampling Distribution Quiz (version A)
Sampling Distribution Quiz (version A)
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Description

This quiz assesses students' ability to create and work with sampling distributions for both proportions and means. Students will be asked to check conditions for using the CLT, draw and label sampling distributions, and compute normal probabilities from their sampling distributions. There is 1 version of the quiz with answer keys attached. AP Statistics Unit 5: Sampling Distributions

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Sampling Distribution Quiz (version A)

Michael Litke
6 Followers
$3.00

Highlights

Digital downloads
Grades icon
Grades
10th - 12th
Subjects icon
Subjects
Standards icon
Standards
Pages
3
Answer Key
Included
Teaching Duration
45 minutes

Description

This quiz assesses students' ability to create and work with sampling distributions for both proportions and means. Students will be asked to check conditions for using the CLT, draw and label sampling distributions, and compute normal probabilities from their sampling distributions. There is 1 version of the quiz with answer keys attached. AP Statistics Unit 5: Sampling Distributions

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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Standards

to see state-specific standards (only available in the US).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
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