1.5.27 Question Help During every election in a particular region, polisters con

Question

1.5.27 Question Help During every election in a particular region, polisters conduct exi polls to help determine which candidate people voted for During the most recent olection, polsters incorrectly predicted candidate A the winner over candidate B. When asked how this error could have happened, since many of the interviewers were older, only older voters selected in the sample agreed interviewers made many mistakes when recording the responses of the respondents In addition, the method of selecting lower proportion of female voters, and candidate B was favored by females Explain which nonsampling erors led to the incorrect the pollsters cited interviewer error due to the fact that to be interviewed, and older voters tended to favor candidate A. Plus, the individuals to be interviewed led to selecting a Select anonsampling errors that led to the incorrect conclusion regarding the election below B. Nonresponse bias is a nonsampling error that contributed to the incorrect conclusion because the indhviduals who were selected for poling but did notrespond voted differently than those who did respond to the polling C. Interviewer error is a nonsampling error that co uted to the incorrect conclusion because the teve endd not teviewolder voters D. No nonsampling errors led to the incorrect conclusion in this case le Click to select your answer(s) and then cliek creck Answer

Explanation / Answer

Ans:

Option A is correct(Data entry error or processing error is non-sampling error,as interviewers made many mistakes in recording the data)

Option B is correct(Non response Bias is non sampling error,as only older people agreed to respond out of selected people,which led to error,as people who did not respond voted different candidates

C is not correct(as interviewer error is non sampling error,but interviewer interview older voters,so reason is not true)

Hence,Option A and B are correct.

Non-sampling error is caused by factors other than those related to sample selection. It refers to the presence of any factor, whether systemic or random, that results in the data values not accurately reflecting the 'true' value for the population.

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