A researcher wants to estimate the proportion of depressed individuals taking a new anti-depressant drug who find relief. A random sample of 275 individuals who had been taking the drug is questioned; 233 of them found relief from depression. Based upon this, compute a 99% confidence interval for the proportion of all depressed individuals taking the drug who find relief. Then find the lower limit and upper limit of the 99% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a list of formulas.) Lower limit: Upper limit:
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Step 1: Calculate the proportion of depressed individuals by dividing the number of individuals released from depression (233) by the total number of individuals in the stream (275). Show more…
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A researcher wants to estimate the proportion of depressed individuals taking a new anti-depressant drug who find relief. A random sample of 250 individuals who had been taking the drug is questioned; 195 of them found relief from depression. Based upon this, compute a 95% confidence interval for the proportion of all depressed individuals taking the drug who find relief. Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. Lower limit: Upper limt:
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