Answer:
Test scores of 10.2 or lower are significantly low.
Test scores of 31 or higher are significantly high
Step-by-step explanation:
Z-score:
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
![\mu = 20.6, \sigma = 5.2](https://tex.z-dn.net/?f=%5Cmu%20%3D%2020.6%2C%20%5Csigma%20%3D%205.2)
Significantly low:
Z-scores of -2 or lower
So scores of X when Z = -2 or lower
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![-2 = \frac{X - 20.6}{5.2}](https://tex.z-dn.net/?f=-2%20%3D%20%5Cfrac%7BX%20-%2020.6%7D%7B5.2%7D)
![X - 20.6 = -2*5.2](https://tex.z-dn.net/?f=X%20-%2020.6%20%3D%20-2%2A5.2)
![X = 10.2](https://tex.z-dn.net/?f=X%20%3D%2010.2)
Test scores of 10.2 or lower are significantly low.
Significantly high:
Z-scores of 2 or higher
So scores of X when Z = 2 or higher
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![2 = \frac{X - 20.6}{5.2}](https://tex.z-dn.net/?f=2%20%3D%20%5Cfrac%7BX%20-%2020.6%7D%7B5.2%7D)
![X - 20.6 = 2*5.2](https://tex.z-dn.net/?f=X%20-%2020.6%20%3D%202%2A5.2)
![X = 31](https://tex.z-dn.net/?f=X%20%3D%2031)
Test scores of 31 or higher are significantly high