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Identifying Outliers and Box Plots

Identifying Outliers and Box Plots

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains how to determine outliers in a data set, focusing on the use of box plots and the five number summary. It introduces the concept of interquartile range (IQR) and how to use it to identify outliers using Tukey's method. An example using Frank Thomas's career data is provided to illustrate the process. The video also covers the construction of box plots and common mistakes to avoid. Finally, it encourages viewers to apply these concepts to other data sets.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one reason for identifying outliers in a data set?

To find the mode

To develop a box plot

To create a pie chart

To calculate the mean

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the five-number summary include?

Mean, median, mode, range, and standard deviation

Minimum, Q1, median, Q3, and maximum

Minimum, mean, median, mode, and maximum

Q1, Q2, Q3, Q4, and maximum

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who developed the method for identifying outliers using the interquartile range?

Ronald Fisher

Karl Pearson

John Tukey

Francis Galton

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the interquartile range (IQR) calculated?

Q3 minus Q1

Q1 plus Q3

Maximum minus minimum

Mean minus median

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What defines an outlier according to Tukey's method?

More than the IQR above Q3 or below Q1

More than twice the IQR above Q3 or below Q1

More than one and a half times the IQR above Q3 or below Q1

More than three times the IQR above Q3 or below Q1

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the given data set, what is the upper fence for identifying outliers?

71

33.5

154.75

104.5

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which values in the data set are considered outliers?

104.5 and 71

16 and 10

33.5 and 71

154.75 and 20.75

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