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MEAN DEVIATION
Mean deviation of a series is the arithmetic average of the deviations of various items from the median or mean of that series.
Median is preferred since the sum of the deviations from the median is less than the from the mean. So the values of mean deviation calculation from median is usually less than that calculated from mean.
Mean deviation is known as first Moment of Dispersion.
Coefficient of mean deviation from mean = Mean Deviation ( M. D)/ Arithmetic Mean
Coefficient of mean deviation from median = Mean Deviation (M. D.)/ Median
Coefficient of mean deviation from mode = Mean Deviation( M. D)/ Mode
The 2 nd phase of operations Research is to construct a mathematical model representing the system under study. It requires the identification of both static and dynam
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Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual#
Example 2 Max Z = 3x 1 - x 2 Subject to 2x 1 + x 2 ≥ 2 x 1 + 3x 2 ≤ 3 x 2 ≤ 4 & x 1 ≥ 0, x 2 ≥ 0 A
give real data & find out the inventory & give suggestions
Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
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Importance of models
types of OR ,technique and mathematical system and linear programming system in operation research
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