The Mean Absolute Deviation, commonly known as MAD is the average of the difference between the mean and the data points, it can also be referred to as the average of the deviations of the data points from the mean.

Given Two months ago, the mean daily rainfall in a local city was 9.4 cm. The mean absolute deviation was 3.5 cm. Last month, the mean daily rainfall in that city was 11.5 cm, and the mean absolute deviation was 1.6 cm.

As it is known that more MAD for data points means more deviation of the data points from the mean, while it is vice versa if it is less. Therefore, we can conclude Last month, the amount of rain that fell each day varied less than the month before.

Hence, the correct statement about the situation is D.

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5 0

2 years ago

A kitchen is shaped like a rectangle with dimensions of 11 1/2 ft by 9 1/2 the floor of the room is made of square tiles with si

VLD [36.1K]

It will take 437 tiles to cover the floor.

7 0

3 years ago

Select all the distribution shapes for which it is most often appropriate to use the mean .

goblinko [34]

The distribution shape that tells us for which it is best to use the mean is the skewed.

This is the term that is used to refer to the average score that exists in a data set.

In the question, these are the reasons why the other options are not correct

When we say Bimodal we are talking about the 2 modes that are in a symmetric distribution. This has nothing to do with the mean

The bell shape has to do with how the normal distribution is when it is drawn. It would create a bell shape hence the mean is not useful.

symmetric has to do with the fact that there are mirror images when the vertical line is drawn in the distribution.

Uniformed shapes tells us that the classes are made up of the same frequency all through.

The skewed shape is what tells us if the median is more or if it is less.

Hence we have the answer that the distribution shapes for which it is most often appropriate to use the mean is the skewed.