Answer:
We will fail to reject the null hypothesis and conclude that there is sufficient evidence not to support the researchers claim.
Explanation:
We are given;
Population proportion; p = 68% = 0.68
Sample proportion; p^ = 93/144 = 0.6548
n = 144
The hypotheses are:
Null hypothesis;H0: p = 0.68
Alternative hypothesis;Ha: p ≠ 0.68
np = 144 × 0.6548 > 5 and nq = n(1 - p) = 144(1 - 0.68) > 5.
Since np and nq are more than 5, we can use the z-test .
z-formula in this case is;
z = (p^ - p)/√(p(1 - p))
Plugging in the relevant values, we have;
z = (0.6548 - 0.68)/√(0.68(1 - 0.6548))
z = -0.0252/0.4845
z = -0.052
From the z-table attached, we have a p-value of approximately 0.4801
P-value is higher than the significance level of 0.01.
Thus,we will fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the researchers claim.