Distinguish between nonsampling error and sampling error. Choose the correct answer below.

A. Nonsampling error is the error that results because a sample is being used to estimate information about a population. Sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.

B. Nonsampling error is the error that results from the process of obtaining the data. Sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.

C. Nonsampling error is the error that results from randomness. Sampling error is the error that results from using a sample to estimate information about a population.

D. Nonsampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors. Sampling error is the error that results because a sample is being used to estimate information about a population.

Question

Physics

Danielle Pratt

Today, 11:49

Distinguish between nonsampling error and sampling error. Choose the correct answer below.

A. Nonsampling error is the error that results because a sample is being used to estimate information about a population. Sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.

B. Nonsampling error is the error that results from the process of obtaining the data. Sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.

C. Nonsampling error is the error that results from randomness. Sampling error is the error that results from using a sample to estimate information about a population.

D. Nonsampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors. Sampling error is the error that results because a sample is being used to estimate information about a population.

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Answers (1)

Know the Answer?

Jett Roth · Answer 1

The correct answer is D.

Non-sampling error is the error that results from under-coverage, non-response bias, response bias, or data-entry errors. Sampling error is the error that results because a sample is being used to estimate information about a population.

Explanation:

Sampling error is related to the variation between the true values of the sample and the population. If occurred, it is always random depending upon the sample chosen.

Non-sampling error can be random as well as non-random. Non-sampling error can occur irrespective of the sample chosen. It is related to the inappropriate analysis of the data.