In: Statistics and Probability
Use the given information to find the p-value. also use a0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail tor rejected the null hypothesis)
With H1 : p < 3/5; the test statistic is z = -1.68
A: 0.093 ; fail to reject the null hypothesis
B: 0.0465 ; fail to reject the null hypothesis
C: 0.0465 ; reject the null hypothesis
D: 0.09535 ; fail to reject the null hypothesis
With H1 : p > 0.383, the test statistic is z = 0.41
A: 0.6591 ; fail to reject the null hypothesis
B: 0.3409 ; fail to reject the null hypothesis
C: 0.3490 ; reject the null hypothesis
D: 0.6818 ; reject the null hypothesis
Solution:
Given:
Significance level = 0.05
Part a)
H1 : p < 3/5; the test statistic is z = -1.68
Since H1 is < type, this is left tailed test.
Thus for left tailed test , p-value is:
p-value = P(Z < z test statistic)
p-value = P(Z < -1.68)
Look in z table for z = -1.6 and 0.08 and find corresponding area.
P( Z<-1.68) = 0.0465
p-value = P(Z < -1.68)
p-value = 0.0465
Decision Rule:
Reject null hypothesis H0, if p-value < 0.05 level of
significance, otherwise we fail to reject H0
Since p-value = 0.0465 < 0.05 level of significance, we reject null hypothesis H0.
Thus correct answer is:
C: 0.0465 ; reject the null hypothesis
Part b)
H1 : p > 0.383, the test statistic is z = 0.41
Since H1 is > type , this is right tailed test.
For right tailed test , p-value is:
p-value = P(Z > z test statistic)
p-value = P(Z > 0.41)
p-value = 1 - P(Z < 0.41)
Look in z table for z = 0.4 and 0.01 and find corresponding area.
P( Z < 0.41) = 0.6591
thus
p-value = 1 - P(Z < 0.41)
p-value = 1 -0.6591
p-value = 0.3409
Since p-value = 0.3409 > 0.05 level of significance, we fail to reject H0.
Thus correct answer is:
B: 0.3409 ; fail to reject the null hypothesis