Two companies did independent surveys of voter reaction to the same candidate. In a poll of 1200 people the first company found 650 who supported the candidate; whereas, in the second company found in a poll of 1300 people, 740 supported the candidate. At the 0.05 level of significance test the hypothesis that there is a difference between the percent of voters who support the candidates in the two polls
Answer:
The difference between the two polls can be found by looking at your hypothesis testing. The only thing that hypothesis testing does is to examine the likelihood of the underlying distribution being normal (or at least known), and thereby having predictable properties such that the sample is representative of the general population.
The qualitative differences between the two polls (ie, method of sampling, survey questions, etc.) is irrelevant here; the only difference you are looking for would appear in the hypothesis testing. This is pure statistics, purely quantitative, don't worry about the non-quantitative issues.
Differences in polling methods, targeted polling, etc.
It is really quite easy to make a poll support one's preconceived notions. All you have to do is ask the right questions to the right people
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