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Answer:
Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.
Step-by-step explanation:
Description in words of the parameter p
represent the real population proportion of students who went Home for winter break
represent the estimated proportion of students who went Home for winter break
n is the sample size selected
The population proportion have the following distribution
Solution to the problem
For this case we assume that the proportion given 0.35 is an estimation for the real parameter of interest p, that means
On this case the estimated proportion is calculated from the following formula:
Where X are the people in the sam with the characteristic desired (students who went Home for winter break) and n the sample size selected.
Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.