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The concept of sampling error is discussed in the section Understanding the Margin of Sampling Error...

The concept of sampling error is discussed in the section Understanding the Margin of Sampling Error in the middle of page 4 in the document New York Times Polling Standards (pdf). The third paragraph in this section is discussing the sampling distribution of p̂, where p̂ is the sample proportion of items in a sample that has the characteristic of interest.

It may assist you in answering the following questions to first verify the statement made in the last sentence of the third paragraph: "And 95 out of those 100 separate poll measures would be between 37% and 43%". Recall that the population proportion p is .40 and n = 1000.

QUESTION: The sample proportions 38% (.38) and 42% (.42) are mentioned in the third paragraph. For a sample of size n = 1000, what is P(.38 ≤ p̂ ≤ .42) when the population proportion p is .40?

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