There is not enough evidence at the 0.02 significance level to support the claim that the population proportion p is less than 0.687.
To test the claim about the population proportion p<0.687 given n=225 and p=0.662 with a significance level
α=0.02, we can use a one-tailed z-test for proportions.
The formula for the z-test for proportions is:

Where:
p = Sample proportion
P = Claimed population proportion under the null hypothesis
n = Sample size
Given:
n=225
p=0.662
P=0.687
α=0.02
Let's calculate the z-score:




z≈−0.0256
Now, let's find the critical z-value for α=0.02. This corresponds to the left-tail test:
Using a z-table or calculator, we find that the critical z-value for
α=0.02 is approximately -2.054.
Comparing our calculated z-value (-0.0256) with the critical z-value (-2.054), since -0.0256 is greater than -2.054, we fail to reject the null hypothesis.