Firstly, let's find the mean of the sampling distribution of the sample proportion. This is equal to the population proportion, which is 14% or 0.14. Therefore, μₚp= 0.14
Next, we need to calculate the standard error of the sampling distribution. The formula for the standard error (sometimes known as the standard deviation of the sampling distribution of a proportion) is sqrt[p(1 - p) / n].
Here, p represents the population proportion and n is the sample size. In this case, p is 0.14 and n is 174.
We replace p and n in the formula with these values. So,
σₚp = sqrt[(0.14*(1 - 0.14)) / 174]
After carrying out the calculation and rounding to four decimal places, we find that the standard error, σₚp, is 0.0263.
So, the mean of the sampling distribution of the sample proportion μₚp is 0.14 and the standard error of this distribution σₚp is 0.0263.