e*4
if e were to be 2 the answer would be eight because 2*4=8
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Mean, adj. not nice: The bully was mean to all the other children.Mean, noun, the average of several numbers: 4 is the mean of the numbers 3, 4, and 5.
To determine the number of observations needed to estimate the mean time for element 2 within 4 percent of its true value with 95.5 percent confidence, you would apply the formula for sample size: ( n = \left( \frac{Z \cdot \sigma}{E} \right)^2 ), where ( Z ) is the z-score corresponding to the desired confidence level (approximately 2 for 95.5%), ( \sigma ) is the estimated standard deviation, and ( E ) is the margin of error (in this case, 4 percent of the true mean). You would need an estimate of the standard deviation to calculate the exact sample size.
6.0
No, a distribution can have infinitely many moments: the first is the mean, the second variance. Then there are skewness (3), kurtosis (4), hyperskewness (5), hyperflatness (6) and so on.If mk represents the kth moment, thenmk = E[(X - m1)k] where E is the expected value.It is, therefore, perfectly possible for m1 and m2 to be the same but for the distribution to differ at the higher moments.
The mean (arithmetic mean) is the average of all the values in the set. Add the values together and divide by the number of values.Example : the values 1, 2, 3, 4, and 5Their sum is 1+2+3+4+5 = 15 and there are five values.15/5 = 3 so the mean is 3.(*In some branches of mathematics, the term average has other forms, so the term mean is used to indicate this type of averaging.)