Mean
Mean - Mean is the arithmetic avera..
Mean
Mean is the arithmetic average. To find mean of ungrouped data and it is obtained by adding the raw scores and dividing the sum by the number of items. There are three methods to find mean for a frequency distribution. (i) Direct method, (ii) Short-cu..
Mean Deviation
The mean deviation of a statistical data is defined as the arithmetic mean of the numerical values of the deviations of items from some average value. Mean deviation is also known as average deviation . The mean deviation is generally denoted by M.D. Formula ..
The mean deviation of a statistical data is defined as the arithmetic mean of the numerical values of the deviations of items from some average value. Mean deviation is also known as average deviation . The mean deviation is generally denoted by M.D. Formula ..Mean and Variance
= l e - l e l = l ..
= l e - l e l = l ..Merits and Demerits of Mean Deviation
Merits: - Mean deviation is easy to calculate. This measure is simple to understand. This can be calculated from any average. Its value is based upon all the (observations) items of the data. It is less affected by extreme observations. It gives us an idea about how the items are situated..
To find mean of ungrouped data
It is obtained by adding the raw scores and dividing the sum by the number of items. Suppose the raw scores are x 1 , x 2 , x 3 ,, x N then, mean where M = mean x = each score or item N = number of items = sigma, which means 'summation of ' Find the mean..
It is obtained by adding the raw scores and dividing the sum by the number of items. Suppose the raw scores are x 1 , x 2 , x 3 ,, x N then, mean where M = mean x = each score or item N = number of items = sigma, which means 'summation of ' Find the mean..Mean and Variance of a Discrete Random Variable
Let X be a discrete random variable which can assume values x 1 , x 2 , x 3 ,x n with probabilities p 1 , p 2 , p 3 .. p n respectively then (a) Mean of X or expectation of X denoted by E(X) or m is given by (b) Variance of X denoted by s 2 is given ..
Let X be a discrete random variable which can assume values x 1 , x 2 , x 3 ,x n with probabilities p 1 , p 2 , p 3 .. p n respectively then (a) Mean of X or expectation of X denoted by E(X) or m is given by (b) Variance of X denoted by s 2 is given ..Standard Deviation for continuous series
In this series too deviations may be taken either from the actual mean or from standard mean. The calculations will be simplified if the deviation are taken from assumed mean..
Result
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