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Understanding IQR and Outliers

Total questions: 7

Worksheet time: 4mins

Name
Class
Date
1.

What is the formula for IQR (Interquartile Range)?

a)

Q3 + Q1

b)

Q3 – Q1

c)

(Q3 × Q1)/2

d)

Q3 ÷ Q1

2.

Given the data: 4, 5, 7, 8, 9, 10, 12, 13, 15, 50 What is the IQR?

a)

9

b)

6

c)

7

d)

12

3.

How do you detect Outliers using IQR?

a)

Values smaller than Q1 – 1.5×IQR or larger than Q3 + 1.5×IQR

b)

Values smaller than Q1 + IQR

c)

Values larger than Q3 + IQR only

d)

All values are Outliers

4.

In the same dataset: 4, 5, 7, 8, 9, 10, 12, 13, 15, 50 Is 50 considered an Outlier?

a)

Yes

b)

No

c)

Cannot tell

5.

What does the Box Plot show?

a)

Only the Mean

b)

Only the Minimum and Maximum

c)

The Median, Q1, Q3, and possible Outliers

d)

The Mode only

6.

In a Box Plot, the line inside the box represents:

a)

The Mean

b)

The Mode

c)

The Median

d)

The Maximum

7.

If a Box Plot shows many points outside the Whiskers, what does that mean?

a)

There are no Outliers

b)

The data is normally distributed

c)

There are multiple Outliers

d)

The data is constant