In: Statistics and Probability
Q2) A drug manufacturer claims that fewer than
10% of patients who take its new drug for treating
Alzheimer’s disease will experience nausea. In a random sample of
500 patients, 47 experienced nausea. Perform a significance test at
the 5% significance level to test this claim.
(a) State the null and alternative hypothesis.
(b) Calculate the test statistic.
(c) Calculate the p-value. Round to 4 decimal places
(d) Make a decision at the 0. 05 significance level to reject Ho or fail to reject Ho.
(e) Write your conclusion in the context of the claim.
Solution :
Given that,
n = 500
x = 47
Point estimate = sample proportion = = x / n = 47/500 = 0.094
= 10% = 0.10
1 - = 1 - 0.10 = 0.90
= 0.05
a)
This is a left (One) tailed test,
Ho: 0.10
Ha: 0.10
b)
The test statistics
z = ( - )/( *( 1- ) )/n
= ( 0.094 - 0.10)/( 0.10*0.90)/500
= 0.447
c)
p-value = P(Z < z )
= P( Z < 0.447)
= 0.6726
d)
The p-value is p = 0.3274 > = 0.05, it is concluded that the null hypothesis is fails to reject.
e)
Conclusion:
It is concluded that the null hypothesis Ho is fails to reject. Therefore, there is not enough evidence to claim that the population proportion is less than = 0.05 level of significance.