Answer:

Explanation:
By considering the given statements :
Null hypothesis :

Alternative hypothesis :
( opposite of null hypothesis.)
As per given , we have
Sample size : n= 100
Sample mean :

Sample standard deviations :

Since population standard deviation is unknown , so we will perform t-test.
Formula for test statistic ( for population mean):

Hence, the required test statistic :
