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Identifying Outliers Using 1.5 Rule

Authored by Anthony Clark

Mathematics

10th Grade

CCSS covered

Identifying Outliers Using 1.5 Rule
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13 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is an outlier in a data set?

A data point that is irrelevant to the data set

A data point that is within the average range of the data set

A data point that is exactly in the middle of the data set

A data point that differs significantly from other observations in the same data set.

Answer explanation

An outlier is a data point that differs significantly from other observations in the same data set.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Given the following data set
6, 9, 12, 14, 7, 9, 6, 8, 25, 12, 14
What is the mean of the data set without the outlier(s)?

9.2

9.7

11.1

12.4

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The data set below has an outlier of 42.
2, 5, 12, 15, 19, 4, 6, 11, 16, 18, 12, 12, 42
What effect does removing the outlier have on the distribution of the data?

The mean will decrease

The median will decrease

The mean will increase

The median will increase

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What are the coordinates of the outlier?

(3,4)

(4,3)

(3,10)

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What are the coordinates of the outlier?

(9,1)

(0,3)

(1,9)

Tags

CCSS.HSF-LE.A.1B

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Use the 1.5 IQR rule to determine if there are any outliers for the following numbers:
84, 88, 72, 74, 98, 16, 94

Yes, 16 is an outlier.

Yes, 33 is an outlier.

Yes, 98 is an outlier.

There are no numbers less than 39 or greater than 124, therefore there are no outliers.

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

When using IQR to find outliers, which formula will identify the lower limit?

1.5(IQR)

Q1 + 1.5(IQR)

Q1 - 1.5(IQR)

Q3 + 1.5(IQR)

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