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Coefficient of Variation or C.V.
To compare the variability between or more series, coeffiecnt of variation is used, it is relative measure of dispersion, it innovated and used by Karl person in1895 for the first time .as such it is known as karl person coefficient of variation, in the words of karl Pearson coefficient of variation is the percentage variation in the mean the standard deviation being treated as the total variation in the mean in other words coefficient of variation is 100 times of coefficient of standard deviation, this measure of dispersion is used to compare the variability homogeneity , stability and consistency between two or more distribution ,the following formula is used. Coefficient of variation = standard deviation /Mean x100.
Sampling Error It is the difference between the value of the actual population parameter and the sample statistic. Samples are used to arrive at conclusions regarding the p
Type of Correlation 1. Positive and Negative Correlation: 2. Simple Partial and Multiple Correlations. 3. Linear and Non linear or Correlations
simplified formulae
Ten balls are put in 6 slots at random.Then expected total number of balls in the two extreme slots
show that (N,/) IS NOT A SEMI GROUP
The data le for this assignment is brain-body-wts.txt, which lists the averages brain weights (gm) and body weights (kg) for a number of animal species. Your task is to t an appr
As one of the oldest multivariate statistical methods of data reduction, Principal Component Analysis (PCA)simplifies a dataset by producing a small number of derived
a b c d e supply p 3 4 6 8 8 20 q 2 6 0 5 8 30 r 7 11 20 40 3 15 s 1 0 9 14 6 13 d 15 3 12 10 20
data:59,59,65,70,74 176,179,195,210,200
The decision maker ranks lotteries according to the utility function (i) State the independence assumption. Does this decision maker satisfy it? (ii) Is this decision ma
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