Find or make up a small set of scores. Demonstrate the steps you'd go through to transform all of the scores into z-scores. As a variation, demonstrate how you'd transform the distribution of z-scores into a different standardized distribution with a mean other than 0 & an SD different from 1.
Below are 8 random numbers
x |
27 |
43 |
34 |
47 |
23 |
40 |
34 |
52 |
Z = (X - mean)/sd
here
mean = 37.5
sd = 9.8706
hence
Z = (X - 37.5)/9.8706
x | z-score |
27 | -1.06377 |
43 | 0.557211 |
34 | -0.35459 |
47 | 0.962455 |
23 | -1.46901 |
40 | 0.253278 |
34 | -0.35459 |
52 | 1.46901 |
X = mean + z * sd
suppose we want to convert this in different standardized distribution with mean = 100 and sd = 20 {say}
hence
X = 100 + z * 20
new scores Y would be
x | z-score | Y |
27 | -1.06377 | 78.72468 |
43 | 0.557211 | 111.1442 |
34 | -0.35459 | 92.90823 |
47 | 0.962455 | 119.2491 |
23 | -1.46901 | 70.61979 |
40 | 0.253278 | 105.0656 |
34 | -0.35459 | 92.90823 |
52 | 1.46901 | 129.3802 |
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