A new drug cures 80% of the people taking it. Suppose 25 people take the drug. Find the probability that exactly 18 people are cured.
A new drug cures 80% of the people taking it. Suppose 25 people take the drug....
A drug tester claims that a drug cures a rare skin disease 80% of the time. The claim is checked by testing the drug on 100 patients. If at least 72 patients are cured, the claim will be accepted. Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible. The probability is
A drug tester claims that a drug cures a rare skin disease 85% of the time. The claim is checked by testing the drug on 100 patients. If at least 80 patients are cured, the claim will be accepted Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution it possible The probability is (Round to four decimal places as needed.)
A drug tester claims that a drug cures a rare skin disease 68% of the time. The claim is checked by testing the drug on 100 patients. If at least 62 patients are cured, the claim will be accepted. Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible. The probability is __________(round to four decimal places as needed.)
A drug tester claims that a drug cures a rare skin disease 66% of the time. The claim is checked by testing the drug on 100 patients. If at least 59 patients are cured, the claim will be accepted. Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible.
A drug tester claims that a drug cures a rare skin disease 77?% of the time. The claim is checked by testing the drug on 100 patients. If at least 72 patients are? cured, the claim will be accepted. Find the probability that the claim will be rejected assuming that the? manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible.
A drug tester claims that a drug cures a rare skin disease 77% of the time. The claim is checked by testing the drug on 100 patients. If at least 73 patients are cured, the claim l be accepted Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible. The probability is(Round to four decimal places as needed.)
A drug tester claims that a drug cures a rare skin disease 75% of the time. The claim is checked by testing the drug on 100 patients. If at least 68 patients are cured, the claim will be accepted. Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible. The probability is nothing. (Round to four decimal places as needed.)
A drug tester claims that a drug cures a rare skin disease 65% o the time. The claim is checked by testing the rug on 100 patients fat east 60 patients are cured the claim will be accepted. Find the probability that the claim will be rejected assuming that the manufacturer's claim is true. Use the normal distribution to approximate the binomial distribution if possible The probability is (Round to four decimal places as needed )
There is about an 66.6% chance that a new drug will cure AIDS. Suppose that the drug is tested with four patients. Find the approximate probability that one or two of the four patients will be cured by the drug. 0.45 X Bin(4,2/3) 0.4 0.1 0.05 0 1
A new drug has been found to be effective in treating 80% of the people afflicted by a certain disease. If the drug is administered to 300 people who have this disease, what are the mean and the standard deviation of the number of people for whom the drug can be expected to be effective? (Round your standard deviation to two decimal places.) mean: _____ people standard: _______ deviation people