Q: To the nearest tenth calculate the average mean and standard deviation of the following list of numbers 89 76 56 78 91 65 77 77 77 77 82 59 64 68 68?

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The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.

Because the average deviation will always be zero.

You don't need to. Average deviation (about the mean) is always zero!

The mean is the average value and the standard deviation is the variation from the mean value.

Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.

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The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.

Because the average deviation will always be zero.

The standard deviation (?, pronounced sigma) of a set of values is a measure of how much the set of values deviates from the average of the values. To calculate ? of a complete set of values (as opposed to a sampling),...Calculate the average of the set (the sum of the values divided by the quantity of the values).Calculate the difference between each value and the average calculated in step 1, then square the difference.Calculate the average of all the squares calculated in step 2.The standard deviation is the square root of the average calculated in step 3.

No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.

You don't need to. Average deviation (about the mean) is always zero!

Simple! The average deviation for any data set is zero - by definition.

You can calculate standard deviation by addin the numbers of data that are together and dividing that number by the amount pieces of data.THAT IS TOTALLY INCORRECT.What was answered above was the calculation for getting an (mean) average.If you take five numbers for example 1, 2, 3, 4, 5 then the (mean) average is 3.But the standard deviation between them is 1.58814 and the variance is 2.5Also the population std. deviation will be 1.41421 and the population variance will be 2.see standard-deviation.appspot.com/

mean

To calculate the average deviation from the average value, you first find the average of the values. Then, subtract the average value from each individual value, take the absolute value of the result, and find the average of these absolute differences. This average is the average deviation from the average value.

If I have understood the question correctly, despite your challenging spelling, the standard deviation is the square root of the average of the squared deviations while the mean absolute deviation is the average of the deviation. One consequence of this difference is that a large deviation affects the standard deviation more than it affects the mean absolute deviation.

The mean is the average value and the standard deviation is the variation from the mean value.

The standard deviation is always be equal or higher than zero. If my set of data is limited to whole numbers, all of which are equal, the standard deviation is 0. In all other situations, we first calculate the difference of each number from the average and then calculate the square of the difference. While the difference can be a negative, the square of the difference can not be. The square of the standard deviation has to be positive, since it is the sum of all positive numbers. If we calculate s2 = 4, then s can be -2 or +2. By convention, we take the positive root.