question archive To determine which student is most likely to win the student council election, 100 students from the school are randomly asked who they intend to vote for

To determine which student is most likely to win the student council election, 100 students from the school are randomly asked who they intend to vote for

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To determine which student is most likely to win the student council election, 100 students from the school are randomly asked who they intend to vote for. This experimental design is using a to gather its results.

A. confounding variable

B simulated model

C.census

D. sample survey 

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Answer:

As we are taking a random sample of students to determine the voting pattern this is clearly not a simulated statistical model which we are building to determine the election result. Also the method of confounding variable involves getting an independent variable to determine the voting result which is again not the case here, as we are in a way taking a sample of dependent variable itself.

The difference between census and sample survey is that census involves all the population results ( that would be the final result here ), As we are only taking a small random sample of 100 students here, Therefore this is a sample survey done here to gather the results.