Side effects A drug manufacturer claims that less
than 10% of patients who take its new drug for treat-
ing Alzheimer’s disease will experience nausea. To
test this claim, researchers conduct an experiment.
They give the new drug to a random sample of 300
out of 5000 Alzheimer’s patients whose families have
given informed consent for the patients to participate
in the study. In all, 25 of the subjects experience
nausea. Use these data to perform a test of the drug
manufacturer’s claim at the a = 0.05 significance
level.
We have,
n = 300 x = 25 p = 0.1 q = 1 - p = 0.9 , level of significance=0.05, hence
p^ =x/n = 25/300 = 0.0833
The hypotheses are:
H0: P=0.1
H1:p<0.1 which is left tailed
The critical value is defined as below
Z0.05 =1.64 its from the Z- table such that P(Z>1.64) = 0.05
But test is left-tailed, therefore the critical value is -1.64
From the above we may define Reject Ho if Z < -1.64
Next, we define the test statistic as Z = (P^ - P) / ( (pq/n)1/2) which becomes
z = (0.0833 - 0.1) / ( (0.1*0.9)/300 )1/2
solving the above we get that z= -0.96 which is our test statistic.
from the above we see that z > -1.64, so we do not reject H0.
Hence, we conclude that the data does not provide convincing evidence to support the manufacturers claim.
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