Question

distinguish between nonsampling error and sampling error. choose the correct answer below. a. 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. 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 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. 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.

Explanation:

Nonsampling errors are due to issues like under - coverage, non - response bias, response bias, or data - entry errors during data collection. Sampling error occurs because a sample is used to estimate population information.

Answer:

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.