Deviation measures, Applied Statistics

Deviation Measures

The drawback of the range as a measure of dispersion is that it takes into account the values of only two data points - the largest and the smallest.

One way to have a dispersion measure that takes into account every data point is to use deviations. Deviation means difference. We can find the average of the deviations of the data points from a fixed value.

794_deviation measures.png

AP    = deviation of A from P

BP    = deviation of B from P

CP    = deviation of C from P

We can find average deviation of a set of observations from any fixed number.

Posted Date: 9/14/2012 2:51:25 AM | Location : United States







Related Discussions:- Deviation measures, Assignment Help, Ask Question on Deviation measures, Get Answer, Expert's Help, Deviation measures Discussions

Write discussion on Deviation measures
Your posts are moderated
Related Questions
OmegaPlus Pty.Ltd. is a chain of Health Food stores operating in Australia: with 12 stores across Sydney, Melbourne and Brisbane. OmegaPlus has recently appointed a new CEO: San

prove that coefficient of correlation lies between -1 and+1

Grid is the set of pairs {1, 2, 3, 4} x {1, 2, 3, 4}. Image is the power set of Grid. An element of Image is a subset of Grid and can be represented by a diagram on a 4 by 4

Related Positional Measures Besides median, there are other measures which divide a series into equal parts. Important amongst these are quartiles, deciles and percentiles.

The Elementary Teachers' Federation of Ontario make the following claim on their website as of February 13, 2013: For years, the Elementary Teachers' Federation of Ontario (ETFO

How to a calculate the combined standard deviation for five groups (samples)?

Ask question #MinimumA wedge is small piece of material having two of their opposite faces not parallel. To lift block of weight W, it is pushed by horizontal force P which lifts t

Scenario: To fundraise for middle school camp the year 3 and 4 syndicate designed and produced chocolate treats to sell to the year 1 and 2, and year 5 and 6 students at morning te

The PCA is amongst the oldest of the multivariate statistical methods of data reduction. It is a technique for simplifying a dataset, by reducing multidimensional datasets to lower

As we stated above, we start factor analysis with principal component analysis, but we quickly diverge as we apply the a priori knowledge we brought to the problem. This knowled