Box Plot With Outliers

Use the five number summary and the 1.5(IQR) rule to determine if the data set contains outliers.

• No, the data set does not contain any outliers

• Yes, the data set contains an outlier on the lower end of the data set.

• Yes, the data set contains an outlier on the upper end of the data set.

• There is not enough information to determine if the data set contains outliers.

What percentage of the data is between 40 and 90?

• 25 %

• 50%

• 75%

• 100%

What does point C on the box plot represent?

• Lower Quartile (Quartile 1)

• Median

• Upper Quartile (Quartile 3)

• Mean

Is the data skewed left or skewed right?

• Skewed Left

• Skewed Right

What is the median?

• 62

• 58

• 66

• 60

Why might you choose a boxplot over a histogram when analyzing data distribution

• A boxplot shows all individual data values.

• A boxplot shows the mean while a histogram does not.

• A boxplot shows skewness while a histogram does not.

• A boxplot identifies individual outliers in the data set.

Which of the following visualizations is best suited for identifying outliers?

• Bar chart

• Scatter plot

• Histogram

• Boxplot

Identify the Plot/Chart

• Box Plot

• Histogram

• Stem and Leaf Plot

• Scatter Plot

• Bar chart

A Plot/Chart that is QUANTITATIVE and:
[Shows how data is spread out, highlighting the middle value (median), data ranges (quartiles), and any unusual values (outliers)]

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