1. Data with a z-score between the range of -2 to 2 is considered “usual” and data with a z-score outside of that range is considered “unusual.” Sort the following sample data into usual and unusual and justify your decision. You may use the fact that s = 2.4 5, 5, 4, 4, 6, 6, 10, 1, 4
Solution:
Given data set : 5, 4, 4, 6, 6, 10, 1, 4
n = 9
Mean = sum of observations/Number of observations
= (5 + 4 + 4 + 6 + 6 10 + 1 + 4)/9
= 5
Now , standard deviation of given data is given .
Standard deviation = 2.4
We know , z score of a observation x is given by
z score = (x - mean)/standard deviation
For first observation 5 ,
z score = (5 - 5)/2.4 = 0.00
Similarly we find z score for each observation.
Observation x | z score | Usual or Unusual |
5 | (5 - 5)/2.4 = 0.00 | Usual |
5 | (5 - 5)/2.4 = 0.00 | Usual |
4 | (4 - 5)/2.4= -0.42 | Usual |
4 | (4 - 5)/2.4 = -0.42 | Usual |
6 | (6 - 5)/2.4 = 0.42 | Usual |
6 | (6 - 5)/2.4 = 0.42 | Usual |
10 | (10 - 5)/2.4 = 2.08 | Unusual |
1 | (1 - 5)/2.4 = -1.67 | Usual |
4 | (4 - 5)/2.4 = -0.42 | Usual |
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