(Choose 1 answer)
A. (1)
B. (III)
C. (II)
D. (IV)
X
10
x_{1}
You have a 1-D dataset lx^{(1)}....x^{(m)} ) and you want to detect outliers in the dataset. You first
plot the dataset and it looks like this:
(1) \mu_{1}=-3,\sigma_{1}^{2}=2
(III) \mu_{1}=-6,\sigma_{1}^{2}=2
(11) \mu_{1}=-3,\sigma_{1}^{2}=4
(IV) \mu_{1}=-6,\sigma_{1}^{2}=4
El 11
