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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.

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

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