The mean of sample means is the same as the mean of the underlying distribution.
The standard deviation of sample means is the original distribution sample mean divided by the square root of the number of samples.
Mean of sample mean distribution: 64
SD of sample mean distribution: 4/√64 = 1/2
The last number will either be 5 or 0. For example 15, or 20.
Answer:
72
Step-by-step explanation:
18*4
12*6
8*9
Answer:
0.08
Step-by-step explanation:
