Answer:
a. An observation is considered an outlier if it is below -5
b. An observation is considered an outlier if it is above 27
Step-by-step explanation:
Given a five-number summary of a dataset as 1,7, 12, 15, 20.
We can go ahead and label the numbers thus;
1 - Minimum
7 - 1st Quartile (Q1)
12 - Median (Middle number)
15 - 3rd Quartile(Q3)
20 - Maximum
The Interquartlie Range(IQR) = Q3 - Q1 = 15 - 7 = 8
Note that an outlier is any number less than Q1 - (1.5 * IQR) or any number greater than Q3 + (1.5 * IQR)
Let's now determine the value of Q1 - (1.5 * IQR) as seen below;
![7-(1.5\cdot8)=7-12=-5](https://img.qammunity.org/2023/formulas/mathematics/college/fj8z4y13skacejn3nptbvlotyyypxobji4.png)
Therefore, an observation is considered an outlier if it is below -5
Let's now determine the value of Q3 + (1.5 * IQR) as seen below;
![15+(1.5\cdot8)=15+12=27](https://img.qammunity.org/2023/formulas/mathematics/college/59yhqb7ihymq00chadk2u1raz6dxwyghg7.png)
Therefore, an observation is considered an outlier if it is above 27