Answer: t= 3.75
Explanation:
Given : Sample mean (M) = 50
Population mean (µ) = µM = 47
Sample standard deviation (s) = 4
Sample size (N) = 25
∵ Population standard deviation is missing , so we apply t-test.
Test statistic formula :

Substitute all the values in the formula , we get

Hence, the t statistic for a one-sample t test : t= 3.75