Q:

(8.32) An opinion poll calls 2000 randomly chosen residential telephone numbers, then asks to speak with an adult member of the household. The interviewer asks, How many movies have you watched in a movie theater in the past 12 months? Step 1: What population do you think the poll has in mind? Young people with disposable income. Moviegoers. Adult residents of the country. Step 2: In all, 1131 people respond. What is the rate (percent) of nonresponse? 43.45 56.55 53.45 46.55 Step 3: What source of response error is likely for the question asked?

Accepted Solution

A:
Answer:1. Adult residents in the country.2. 43.45%3. A non-response error.Step-by-step explanation:1. What population do you think the poll has in mind? Adult residents in the country. According to the statement, the first filter that pollsters use is: adult members of the household. If population were all moviegoers, no age distinction would be made. On the other hand, at no time is the economic situation of respondents mentioned, so the population  is not "young people with disposable income". 2. What is the rate (percent) of nonresponse? In total 2000 calls were made, according to the problem statement 1131 were answered, therefore, 869 were not. So, to calculate the rate of non-response rate, we make the following mathematical operation:Non-response rate = [tex](\frac{869}{2000} )*100[/tex] Non-response rate = 43.45%3. What source of response error is likely for the question asked?Due to the nature of this research, it is very unlikely that a response error has been present. A "response error" is defined as a bias generated by inaccurate responses by respondents, or because their answers have been recorded or analyzed incorrectly. It is very likely that in this case there was a non-response error, which occurs when some respondents do not answer the questions, in fact, here 43.45% of the potential respondents did not answer the call. The difference with respect to the response error is that a bias is generated due to lack of data, instead of incorrect data collection.