Define the five-number summary, and explain how to depict it visually with a boxplot. Which five numbers are included in the five-number summary for a data set? A. low value, variance, mean, standard deviation, and high value B. Iow value, lower quartile, mean, upper quartile, and high value C. Iow value, variance, median, standard deviation, and high value D. Iow value, lower quartile, median, upper quartile, and high value Explain how to depict the five numbers visually with a boxplot. Choose the correct answer below. Select all that apply. A. Draw a number line that spans all the values in the data set. Enclose the values from the lower to upper quartile in a box. Draw a vertical line through the box at the mean. Add "whiskers" extending to the low and high values. B. Draw a number line that spans all the values in the data set. Enclose the values from the lower to upper quartile in a box. Draw a vertical line through the box at the median. Add "whiskers" extending to the low and high values. C. Draw a number line that spans all the values in the data set. Enclose the values from the lower to upper quartile in a box. Draw a vertical line through the box at the mean. D. Draw a number line that spans all the values in the data set. Enclose the values from the lower to upper quartile in a box.
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Did you know that the five-number summary provides a quick snapshot of a data set's distribution? It includes the minimum value, the first quartile (lower quartile), the median (second quartile), the third quartile (upper quartile), and the maximum value. This summary helps highlight both the center and the spread of the data, making it easier to understand data variability at a glance! Boxplots, those delightful little visuals, beautifully encapsulate the five-number summary! To create one, start by drawing a number line that covers the entire range of your data. Then, construct a box from the lower quartile to the upper quartile. Place a line inside the box at the median to show the center, and add “whiskers” that extend to the minimum and maximum values for a complete picture. Voila, data visualization magic at its best!
