a) The null and alternative hypothesis
H0:p1=p2
H1: p1 p2
Test statistic
where
n1= 46 , n2= 90
39/46= 0.8478
73/90= 0.8111
P = (39+73)/(46+90) = 0.8235
Q=1-P= 0.1765
thus ,
Therefore , test statistic is
z=0.53
P value = 0.596
The P value is greater than the significance level of 0.01 , so do not reject the null hypothesis > There is not sufficient evidence to support the claim that echinacia treatment has an effect .
Note : P value = P( z < -0.53 ) +P( z > 0.53 ) = 0.2981+0.2981= 0.596 ( from z table)
b) The 99% confidence interval is
= ( -0.1415 , 0.2150)
99% confidence interval is
-0.142 < (p1-p2) < 0.215
Because the confidence interval limits contain 0 , there does not appear to a significant difference between the two proportions . There is not evidence to support the claim that echinacia treatment has an effect .
Note : For 99% confidence , zc = 2.58 ( from z table)
c) Answer is
C) Echinacea does not appear to have a significant effect on infection rate .
Quel He Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea,...
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