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

Identifying Outliers and Box Plots

Interactive Video
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Mathematics
•
9th - 10th Grade
•
Hard

Patricia Brown
FREE Resource
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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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