Answer:
The distribution of the sample data will approach a normal distribution as the sample size increases.
Step-by-step explanation:
Central limit theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.
So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.
We can say that the average of sample mean tends to be normal but not the sample data.
10LW=V
L/10W= V/10W
L= V/10W
Could we get the picture of the triangle please!
Answer:
B, an edge, because a vertex is the angular point, and an intersection is the point in where two lines meet.
Step-by-step explanation:
