A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said...

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Extracted text: A local news agency conducted a survey about unemployment by randomly dialing phone numbers until it had gatherd response from 1000 adults in the state. In the survey, 19% of those who responded said they were not currently employed. In reality, only 6% of the adults in the state were not currently employed at the time of the survey. Which of the following best explains the difference in the two percentages? 4. 1 The differene is due to sampling variability. We shouldn't expect the results of a random sample to match the truth about the population every time. The difference is due to response bias. Adults who are employed are likely to lie and say that they are unemployed. The difference is due to undercoverage. The survey included only adults and did not include teenagers who are eligible to work. The difference is due to nonresponse. Adults who are employed are less likely to be available for the sample than the adults who are unemployed.