Determining Outliers

From the data set below are there any outliers?

17,18,19,19,20,22,23,23,24,30,31,32,67

• No Outliers

• 67

• 46

• 17

The formula below is used to determine which kind of outlier?

• Upper Outlier 

• Middle Outlier 

• Lower Outlier

• It can determine any Outlier 

• Any Number 

What are the lower fence and upper fence for outlier detection?

• -40 and 120

• 20 and 60

• 40 and 70

• 12 and 70

Which data point did the statistician exclude?

• (2.3, 11.0)

• (4.2, 16.5)

• (6.4, 23.1)

• (8.2, 24.3)

Which scenario is most likely to have outliers?

• Ages in a senior citizen community

• Heights of adult males

• Test scores where most are 90% but a few below 50%

• Number of pages in novels

The lower fence for determining outliers is

• Q1 - 1.5*IQR

• Q3 - 1.5*IQR

• Q2 - 1.5*IQR

• None of these

When should a boxplot be used as a graphical representation of data?

• When outliers are present

• Only for small data sets

• Always

• Never

How does the presence of an outlier affect a boxplot?

• It has no effect

• It shifts the median

• It affects the shape and spread of the data

• It changes the range

When should a boxplot be used instead of a histogram?

• When data is categorical

• When data is continuous

• When outliers are present

• When data is discrete