The calculations below show that Z-score of 10 is –1.25; Z-score of 20 is 1.25; Z-score of 12 is –0.75; Z-score of 17 is 0.50; and Z-score of 16 is 0.25.
The following notations and formulas will be used in these calculations:
Mean = (sum of the values) / n
Variance = ((Σ(x - mean)^2) / (n - 1)
SD = Standard deviation = Variance^0.5
Z-score = (x - Mean) / SD
Where;
n = number of values = 5
x = each value
Therefore, we have:
Mean = (10 + 20 + 12 + 17 + 16) / 5 = 15
Variance = ((10-15)^2 + (20-15)^2 + (12-15)^2 + (17-15)^2 + (16-15)^2) / (5-1) = 64 / 4 = 16
SD = Standard deviation = Variance^0.50 = 16^0.5 = 4
Z-score of 10 = (10 – 15) / 4 = –1.25
Z-score of 20 = (20 - 15) / 4 = 1.25
Z-score of 12 = (12 - 15) / 4 = –0.75
Z-score of 17 = (17 - 15) / 4 = 0.50
Z-score of 16 = (16 - 15) / 4 = 0.25
Learn more about Z-score here: https://brainly.com/question/13871342.
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