1. What do box plots show?
- Box plots show the distribution of a dataset, displaying the range, median, quartiles, and any potential outliers.
2. How do you interpret the length of the box in a box plot?
- The length of the box in a box plot represents the interquartile range, which is the range of values between the 25th and 75th percentiles of the dataset.
3. How do you identify outliers in a box plot?
- Outliers in a box plot are identified as individual points that fall outside of the whiskers of the plot, which extend 1.5 times the interquartile range from the upper and lower quartiles.
4. What does the "whiskers" of a box plot represent?
- The whiskers of a box plot represent the minimum and maximum values of the dataset that are not considered outliers.
5. How can you compare two or more datasets using box plots?
- By creating multiple box plots and placing them side by side, you can compare the distribution of two or more datasets visually and easily identify differences in their medians, quartiles, and ranges.
Box Plots Quick Check
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