Question at position 14 Any data value with a z-score less than –3 or greater than +3 is considered to be a(n) Question Blank 1 of 1[input].

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BlackTom AI · Accepted Answer

The question states: Any data value with a z-score less than –3 or greater than +3 is considered to be a(n) ...
A z-score measures how many standard deviations a value lies from the mean. Values beyond ±3 are far from the center of the distribution, suggesting they do not follow the same pattern as the majority of data points.
In statistics, such extreme values are commonly called outliers because they stand out as unusual compared with the rest of the data set.
The provided answer is 'outlier,' which matches this standard interpretation that z-scores beyond ±3 indicate data points that are unusually high or low relative to the distribution's center and spread.
There are no explicit answer choices listed here to evaluate, so the explanation focuses on the concept and why 'outlier' is the appropriate term for such scores.

Question at position 14 Any data value with a z-score less than –3 or greater than +3 is considered to be a(n) Question Blank 1 of 1[input].

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TB MC Qu. 06-23 Of the following measures, the... Of the following measures, the best way to analyze the extreme values in the sample is to consider the:

Question at position 14 Any data value with a z-score less than –3 or greater than +3 is considered to be a(n) Question Blank 1 of 1[input].

To be an outlier in the boxplot above, a score must be:

To be an outlier in the boxplot above, a score must be:

To be an outlier in the boxplot above, a score must be:

The five-number summary for the ages of the attendees at the Pawnee Harvest Festival is listed below. 1 20 29 38 80 I. There is at least one attendee whose age is a low potential outlier. II. There is at least one attendee whose age is a high potential outlier.

How many potential outliers are in the data?

Based on our in-class discussion, which of the following is not a potential cause of outliers?

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