IXL | Interpret mean and mean absolute deviation

The UV index is a measure of the level of UV radiation from the sun. It is measured on a scale of 1 to 11. At noon last Saturday, 58 randomly selected cities around the United States had a mean UV index of about 6.4, with a mean absolute deviation of about 2.9. None of these cities had a UV index higher than 10.

Which number best describes a typical UV index in these cities at noon last Saturday?

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question

Which number best describes a typical UV index in these cities at noon last Saturday?

key idea

The mean is the average value of the data set. It describes the center of the data set.

The mean absolute deviation (MAD) is the average distance between the data values and the mean. It describes the variability of the data set.

solution

You want to describe a typical UV index in these cities at noon last Saturday.

A measure of center can provide a good typical value for a whole data set. Use the mean, since it describes the center of the data set. The mean UV index in these 58 cities around the United States at noon last Saturday was about 6.4.

So, a typical UV index in these cities at noon last Saturday was about 6.4.

Looking for more? Try these:

Lesson: Mean, median, mode, and range

Lesson: Mean absolute deviation

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Not feeling ready yet? These can help:

OO.2Find the mean

JJ.6Calculate mean absolute deviation

Lesson: Mean, median, mode, and range

Lesson: Mean absolute deviation

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