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
1 5/8 = 13/8
(13/8)/14 = .116 or 13/112
.116 (26) = 3.016 or 169/56
Answer:
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Step-by-step explanation:
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Answer:
Step-by-step explanation:
In rolling one die, there are 6 possible outcomes because each die has 4 faces. The number of outcomes when rolling n dice is equal to 6^n. By this, the number of outcomes when 2 dice are rolled is 36, 216 for 3 dice, and so on.