z = (x - mean) / sigma
x = sigma * z + mean
for mean = 13.1 and sigma = 1.5
x = 1.5 * z + 13.1
for z = -1.13, x = 1.5 * -1.13 + 13.1 = 11.405
for z = -0.23, x = 1.5 * -0.23 + 13.1 = 12.755
Shelby W.
asked 12/18/20Suppose baby kittens' weights are normally distributed with a mean of 13.1 and a standard deviation of 1.5.
The Z-score tells you how many units above the average (if Z-score is positive) or below the average (if Z-score is negative) any particular baby kitten's weight is.
Find the baby kitten weight that corresponds to the following Z-scores.
z = (x - mean) / sigma
x = sigma * z + mean
for mean = 13.1 and sigma = 1.5
x = 1.5 * z + 13.1
for z = -1.13, x = 1.5 * -1.13 + 13.1 = 11.405
for z = -0.23, x = 1.5 * -0.23 + 13.1 = 12.755
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