MATH 216 Lesson 7 Warm Up

What is an outlier in a boxplot?

• A data point that is not included in the boxplot.

• A data point that is within the normal range of values in the dataset.

• A data point that is significantly different from the other values in the dataset.

• A data point that is the average of all the other values in the dataset.

How are outliers represented in a boxplot?

• Individual points outside the whiskers

• Points on the whiskers.

• Points inside the whiskers.

• Points inside the box.

What does the box in a boxplot represent?

• Median

• Standard deviation

• Mean

• Interquartile range (IQR)

What does the line inside the box in a boxplot represent?

• range

• mode

• median

• mean

How can you identify outliers in a boxplot?

• By using the mean value.

• By using the median value.

• By using the 1.5 times the interquartile range (IQR) rule.

• By using the standard deviation.

How can you compare two boxplots?

• Compare the width of the boxplots.

• Compare the position of the median, length of the box, whiskers, and presence of outliers.

• Compare the color of the boxplots.

• Compare the range of the data within the boxplots.

What does it mean if two boxplots have overlapping boxes?

• The two groups being compared have the same standard deviation.

• The two groups being compared have the same range.

• The medians of the two groups being compared are not significantly different.

• The two groups being compared have the same mean.

What does it mean if two boxplots have non-overlapping boxes?

• The medians of the two groups being compared are significantly different.

• The two groups being compared have the same range.

• The two groups being compared have the same interquartile range.

• The two groups being compared have the same median.

How can you interpret the median and quartiles in a boxplot?

• The median represents the 75th percentile of the dataset, while the quartiles represent the 25th and 50th percentiles of the data.

• The median represents the middle value of the dataset, while the quartiles represent the 25th and 75th percentiles of the data.

• The median represents the average value of the dataset, while the quartiles represent the standard deviation of the data.

• The median represents the highest value in the dataset, while the quartiles represent the lowest and highest values.