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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.
Weighted Harmonic Mean Weighted Harmonic Mean is calculated with the help of the following formula: WHM Case
two application of statistics
This probability rule determined by the research of the two mathematicians Bienayme' and Chebyshev, explains the variability of data about its mean when the distribution of the dat
just wondering what would be the cost to complete a stats assignment
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
Grouped Data For calculating mode from a frequency distribution, the following formula Mode = L mo + x W where,
Large Sample Test for Mean A random sample of size n (n > 30) has a sample mean . To test the hypothesis that the population mean μ has a specified value μ 0 let us formu
The range of actuator design parameters have been provisionally assessed and are presented in Table (3). You are required to determine the following parameters: The circumfer
Given a certain population there are various ways in which a sample may be drawn from it. The chart below illustrates this point: Figure 1 In Judgem
1. Use the concepts of sampling error and z-scores to explain the concept of distribution of sample means. 2. Describe the distribution of sample means shape for samples of n=36
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