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Sampling Distributions Choice Table
Sampling Distributions Choice Table
Sampling Distributions Choice Table
Sampling Distributions Choice Table
Sampling Distributions Choice Table
Sampling Distributions Choice Table
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Description

A table to help students decide which method or methods are appropriate to answer questions about sampling distributions.

The questions are:

1.) What is the shape of the original distribution? (Normal or non-Normal)

2.) What is the sample size? (small or large)

3.) Is the population standard deviation known? (yes or no)

4.) Do you have a modern graphing calculator or computer? (Some older textbooks assume that students do not have access to one of these, and thus have different criteria for choosing between a "z" or a "t" model of the sampling distribution than online resources/practice problems do, causing a lot of confusion.)

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Sampling Distributions Choice Table

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Digital downloads
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Grades
11th - 12th, Higher Education
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Subjects
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Standards
Pages
3

Description

A table to help students decide which method or methods are appropriate to answer questions about sampling distributions.

The questions are:

1.) What is the shape of the original distribution? (Normal or non-Normal)

2.) What is the sample size? (small or large)

3.) Is the population standard deviation known? (yes or no)

4.) Do you have a modern graphing calculator or computer? (Some older textbooks assume that students do not have access to one of these, and thus have different criteria for choosing between a "z" or a "t" model of the sampling distribution than online resources/practice problems do, causing a lot of confusion.)

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).
Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model?
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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