Answer:
The answer is (B) 3.63.
Explanation:
The formula for the standard error of the mean is:
SE = σ/√n
where σ is the population standard deviation and n is the sample size.
In this case, we are given the sample standard deviation, which is an estimate of the population standard deviation. To estimate the standard error, we can use the sample standard deviation as an estimate of the population standard deviation:
SE = s/√n = 34.4/√90 ≈ 3.63
Therefore, the approximate value of the standard error of the sampling distribution is 3.63, rounded to two decimal places.
The answer is (B) 3.63.