In: Statistics and Probability
A drug tester claims that a drug cures a rare skin disease 82% of the time. The claim is checked by testing the drug on 100 patients. If at least 79 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.
Normal distribution to approximate the binomial distribution
so mean will be np and standard deviation will be given by npq
here n = 100
p = 82/100 = 0.82
q = 1-0.82 = 0.18
mean = np = 100*0.82 = 82
Standard deviation = npq = 100*0.82*0.18
= 14.76
= 3.841
Probability that the claim will be rejected assuming that the manufacturer's claim is true P(z-score> (x-mean)/standard deviation)
= P(Z-score > (79-82)/ 3.841)
= P(z-score > -3/3.841)
= P(z-score > -0.781)
= 1 - 0.2177 (the reason we subtracted 0.2177 from 1 is because in the z-table attached, it gives the area to the left of the z-score but we want the area above it, since here we are looking for a value greater than -0.781)
= 0.7823
The Z-table is attached below