Aset of data has a high-value outliner. how do you expect the standard deviation to change when the outliner is removed? would the result be different if the data had a low-value outliner instead? explain

The standard deviation should reduce in value.

It doesn't matter whether it is high or low value

Step-by-step explanation:

Removing outliers makes the data less spread out, which will reduce the value of the variance and standard deviation.  It doesn't matter if the outlier is a high-value or a low-value outlier.

answer: $201

step-by-step explanation: to get the answer, you first get 3 nieces that he sold and multiply it by 67 and get $201, so he earned $201 selling his nieces.

a. 32 degrees

step-by-step explanation:

here we have to use the rule.

m∠e = 1/2 (major arc - minor arc)

m∠e = 1/2 (212 - 148)

m∠e = 1/2 (64)

m∠e = 32 degrees

answer: a. 32 degrees

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