The statement that best describes the information about the medians would be: the class median and exam median are almost the same.
<h3>Median of a Data Set on a Box Plot</h3>
- The median of any data distribution that is plotted on a box plot is indicated by the vertical line that divides the rectangular box in the box plot.
Thus:
- The median for class is 84
- The median for exam is 85.
Therefore, the statement that best describes the information about the medians would be: the class median and exam median are almost the same.
Learn more about Box Plot on:
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13 and 2, I think that is the only one left.
Answer:
Explain the circumstances for which the interquartile range is the preferred measure of dispersion
Interquartile range is preferred when the distribution of data is highly skewed (right or left skewed) and when we have the presence of outliers. Because under these conditions the sample variance and deviation can be biased estimators for the dispersion.
What is an advantage that the standard deviation has over the interquartile range?
The most important advantage is that the sample variance and deviation takes in count all the observations in order to calculate the statistic.
Step-by-step explanation:
Previous concepts
The interquartile range is defined as the difference between the upper quartile and the first quartile and is a measure of dispersion for a dataset.

The standard deviation is a measure of dispersion obatined from the sample variance and is given by:

Solution to the problem
Explain the circumstances for which the interquartile range is the preferred measure of dispersion
Interquartile range is preferred when the distribution of data is highly skewed (right or left skewed) and when we have the presence of outliers. Because under these conditions the sample variance and deviation can be biased estimators for the dispersion.
What is an advantage that the standard deviation has over the interquartile range?
The most important advantage is that the sample variance and deviation takes in count all the observations in order to calculate the statistic.
There is 0.946 liter in 1 quart
3.5/0.946 = 3.6997
~3.7 liters, or C
C is your answer
hope this helps
Answer:
[13, 15, 17, 16, 12]
[16, 12, 17, 13, 15]
[16, 15, 14, 13, 12]
[17, 13, 15, 12, 14]
Step-by-step explanation:
Writing a Python code, I got the answers given, reading from left to right to down. For example, for [13, 15, 17, 16, 12], 13 is the top left circle, 15 is the middle right, 17 is the far right, 16 is the bottom left, and 12 is the bottom right