Respuesta :
By definition, variance is the measure in which elements in a population or sample are spread from the average or mean value. Additionally, mean is summation of all elements divided my the number of elements.
In this regard, a mean of 25 and a variance of 0 will mean that all the elements in that population are equal to 25.
In this regard, a mean of 25 and a variance of 0 will mean that all the elements in that population are equal to 25.
According to the definition of mean and variance, a mean of 25 and a variance of 0 implies that all the elements in that population are equal to 25.
Step-by-step explanation:
Given :
Mean, [tex]\mu =25[/tex]
Variance, [tex]\sigma^2=0[/tex]
Solution :
Variance -
Variance measures how far each number in the set is from the mean and thus from every other number in the set.
Mean -
Adding all numbers in the data set and then dividing by the number of values in the set.
According to the definition of mean and variance, a mean of 25 and a variance of 0 implies that all the elements in that population are equal to 25.
For more information, refer the link given below
https://brainly.com/question/14116780?referrer=searchResults