Suppose data from 2010 states that 11.7% of Americans are without health insurance. We take a random sample of 100 people of color and find that 20 do not have health insurance. Running hypothesis test we find that p-value is 0.0049.
If all other values stayed the same, that is we assumed 11.7% were without insurance and our sample showed 20% of people of color do not have insurance, how would our p-value change if our sample size was 1000 instead of 100?
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