Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

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Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

 

Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

Explain how generating a simple random sample of 20 candy bars off the production line would be different than generating a simple random sample of 20 employees.

Explain why sampling without replacement is preferable to sampling with replacement

Provide an example of when you might want to take a systematic random sample instead of a simple random sample and explain what the advantages of a systematic random sample might be.

Provide an example of when you might want to take a stratified random sample instead of a simple random sample and explain what the advantages of a stratified random sample might be.

Provide an example of when you might want to take a cluster random sample instead of a simple random sample and explain what the advantages of a cluster sample might be. Also explain how you would choose the cluster sample.

A telephone survey evaluating unemployment claims asks the question “Do you think people should be paid not to work?” The survey was conducted during the hours of 8:00 am to 4:00 pm for homeowners with listed landlines. What are some possible sources of
error that might arise in their effort to estimate the population proportion who would answer “yes” or “no” to this question? (Be sure to both identify any relevant types of error with one of your vocabulary words and explain why it might occur.)

Define the concept of “sampling error”. (Note: Your definition should include the idea of sample population statistic parameter.)