In: Statistics and Probability
Solution:
Here, we have to use one sample z test for the population proportion.
The sensible null and alternative hypotheses for this test can be taken as below:
Null hypothesis: H0: The population proportion of students who fail both is 5%.
Alternative hypothesis: Ha: The population proportion of students who fail both is not 5%.
H0: p = 0.05 versus Ha: p ≠ 0.05
This is a two tailed test.
We assume
Level of significance = α = 0.05
Test statistic formula for this test is given as below:
Z = (p̂ - p)/sqrt(pq/n)
Where, p̂ = Sample proportion, p is population proportion, q = 1 - p, and n is sample size
x = number of items of interest = 5
n = sample size = 29
p̂ = x/n = 5/29 = 0.172413793
p = 0.05
q = 1 - p = 0.95
Z = (p̂ - p)/sqrt(pq/n)
Z = (0.172413793 - 0.05)/sqrt(0.05*0.95/29)
Z = 3.0247
Test statistic = 3.0247
P-value = 0.0025
(by using z-table)
P-value < α = 0.05
So, we reject the null hypothesis
There is not sufficient evidence to conclude that the population proportion of students who fail both is 5%.