Answer :
Final answer:
A boxplot is a graph that helps visualize a sample data divided into portions of 25% each, as well as the outliers. It displays the minimum, first quartile, median, third quartile, and maximum values. Outliers are plotted separately from the main distribution.
Explanation:
A boxplot is a graph that helps visualize a sample data divided into portions of 25% each, as well as the outliers. It displays the minimum, first quartile (25th percentile), median (50th percentile), third quartile (75th percentile), and maximum values. The box in the plot represents the interquartile range (IQR), which is the range between the first and third quartiles. The whiskers extend from the box to the minimum and maximum values, excluding outliers. Outliers are plotted as individual points beyond the whiskers.
A boxplot is useful for identifying the central tendency, spread, and presence of outliers in a dataset. By dividing the data into portions of 25% each, it provides a clear visual representation of how the data is distributed. Additionally, the presence of outliers can be easily identified as they are plotted separately from the main distribution.
Learn more about visualizing data distribution and outliers here:
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