Q: What is the mean absolute deviation for 10 20 15 17 and 13?

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The mean absolute deviation is 2

A large standard deviation indicates that the distribution is heavily weighted far from the mean. Take the following example: {1,1,1,1,1,19,19,19,19,19} Mean is 10 and StDev = 9.49 Now look at this data set: {5, 6, 7, 8, 9, 11, 12, 13, 14, 15} Mean is still 10, but StDev = 3.5

The range is 12 and the standard deviation is 3.822448314.

It means that all of the ten numbers are 15!Standard deviation tells you how spread out the data is from the mean value. Or in other words, it tells you how far the numbers in your data are away from the mean value.If the standard deviation is a high number, it means the data is largely spread out and that there are big differences in the data. The numbers in the data would be quite far from each other. For example, if you had data like: 8, 35, 13, 47, 22, 64, this would probably mean that you'll get a high standard deviation because each of the numbers are very spread out.On the other hand, if the standard deviation is small, it tells you that the numbers in the data are quite close together and that there is only a small difference between the numbers in the data. For example, if you had data like: 19, 25, 20, 22, 23, 18, this would probably mean that you'll get a low standard deviation because each of the numbers aren't that spread outIn the scenario you've given, the standard deviation is ZERO. This means that there is no spread or variation AT ALL with the numbers in your data. This means every single number in the data is the same.Since your mean is 15 and every number in your data is the same, that means that all the ten numbers in your data have to be 15!Hope that makes sense.Jamz159

A particular fruit's weights are normally distributed, with a mean of 760 grams and a standard deviation of 15 grams. If you pick one fruit at random, what is the probability that it will weigh between 722 grams and 746 grams-----A particular fruit's weights are normally distributed, with a mean of 567 grams and a standard deviation of 25 grams.

Related questions

The absolute deviation of 10, 7, 13, 10, 8 is 9.6.

The mean absolute deviation is 2

A large standard deviation indicates that the distribution is heavily weighted far from the mean. Take the following example: {1,1,1,1,1,19,19,19,19,19} Mean is 10 and StDev = 9.49 Now look at this data set: {5, 6, 7, 8, 9, 11, 12, 13, 14, 15} Mean is still 10, but StDev = 3.5

49.30179172 is the standard deviation and 52 is the mean.

The absolute value of a fraction would be done by this:ex. 3/10 is equivalent to .30 or just .3 the absolute value of .3 is .3 because an absolute value is the number of spaces it takes to get to zero on a number line. KILL ME

9

Absolute value can be defined as the distance from the expression to zero. Therefore, the absolute value of 13 is 13.

Absolute value of 13 is 13.

Absolute value of -13 is 13.

The absolute value of 13 is 13.

3.898717738 is the standard deviation.

Absolute value of -13 is 13.