The standard deviation and mean of a data are 6.5 and 12.5 respectively. Find the coefficient of variation.

 



The standard deviation and mean of a data are 6.5 and 12.5 respectively. Find the coefficient

of variation.


The coefficient of variation (CV) is a relative measure of variability that expresses the standard deviation as a percentage of the mean. It is calculated by dividing the standard deviation by the mean and multiplying the result by 100.


Given that the standard deviation is 6.5 and the mean is 12.5, we can calculate the coefficient of variation as follows:


Coefficient of Variation (CV) = (Standard Deviation / Mean) * 100

= (6.5 / 12.5) * 100

= 0.52 * 100

= 52


Therefore, the coefficient of variation is 52%.



OR

(below answer is solved by using python)


To calculate the coefficient of variation (CV) using Python, you can divide the standard deviation by the mean and multiply the result by 100. Here's an example code snippet:


CODE:-

standard_deviation = 6.5

mean = 12.5


coefficient_of_variation = (standard_deviation / mean) * 100


print("Coefficient of Variation:", coefficient_of_variation)

When you run this code, it will output:



Coefficient of Variation: 52.0

Therefore, the coefficient of variation is 52%.






Comments

Popular posts from this blog

Load a Pandas dataframe with a selected dataset. Identify and count the missing values in a dataframe. Clean the data after removing noise as follows: a. Drop duplicate rows. b. Detect the outliers and remove the rows having outliers c. Identify the most correlated positively correlated attributes and negatively correlated attributes

The weights of 8 boys in kilograms: 45, 39, 53, 45, 43, 48, 50, 45. Find the median

Download any dataset and do the following: a. Count number of categorical and numeric features b. Remove one correlated attribute (if any) c. Display five-number summary of each attribute and show it visually