Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation from the mean. 

Formula Used: Mean Deviation =   \(\frac{\Sigma f|d_i|}{N}\)  

Explanation. 

Here we have to calculate the mean deviation from Mean 

So, Mean = \(\frac{\Sigma f_ix_i}{f_i}\)  

Mean = \(\frac{350}{25}\) =14 

Mean Deviation = \(\frac{\Sigma f|d_i|}{N}\)  

Mean deviation for given data = \(\frac{158}{25}\) = 6.32

Hence, The mean Deviation is 6.32.

Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation 

Formula Used: Mean Deviation = \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. 

Here we have to calculate the mean deviation from the mean. So, 

Mean = \(\Sigma \frac{f_ix_i}{n}\) 

Here, Mean =  \(\frac{17900}{50}\) 

Therefore, Mean = 358

Mean Deviation = \(\frac{\Sigma f|di|}{N}\)  

Mean deviation for given data \(\frac{7896}{50}\) = 157.92 

Hence, The Mean Deviation is 157.92

Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation from the mean. 

Formula Used: Mean Deviation = \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. 

Here we have to calculate the mean deviation from Mean 

So, Mean = \(\frac{\Sigma f_ix_i}{f_i}\) 

Mean = \(\frac{234}{26}\) = 9 

Mean Deviation = \(\frac{\Sigma f|di|}{N}\) 

Mean deviation for given data = \( \frac{88}{26}\) = 3.3

Hence, The mean Deviation is 3.3.

Given, Numbers of observations are given.

To Find: Calculate the Mean Deviation from the mean. 

Formula Used: Mean Deviation = \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. 

Here we have to calculate the mean deviation from Mean 

So, Mean = \(\frac{\Sigma f_ix_i}{f_i}\) 

Mean of the given data is  \(\frac{433}{20}\)  = 21.65

Mean Deviation = \(\frac{\Sigma f|d_i|}{N}\) 

Mean deviation for given data is \(\frac{25}{20}\) =1.25

Hence, The mean Deviation is 1.25.

Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation from the mean. 

Formula Used: Mean Deviation =  \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. Here we have to calculate the mean deviation from Mean 

So, Mean = \(\frac{\Sigma f_ix_i}{f_i}\) 

Mean = \(\frac{350}{25}\) =14 

Mean Deviation =  \(\frac{\Sigma f|d_i|}{N}\) 

Mean deviation for given data = \(\frac{158}{25}\) = 6.32

Hence, The mean Deviation is 6.32.

Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation from the mean. 

Formula Used: Mean Deviation = \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. 

Here we have to calculate the mean deviation from Mean 

So, Mean = \(\frac{\Sigma f_ix_i}{f_i}\)  

Mean of given Data = \(\frac{4000}{80}\) =50

Mean =  \(\frac{4000}{80}\)  = 50

Mean Deviation =   \(\frac{\Sigma f|d_i|}{n}\) 

Mean deviation for given data = \(\frac{1280}{80}\) = 16

Hence, The mean Deviation is 16

Given, Numbers of observations are given. 

To Find: Calculate the Mean Deviation 

Formula Used: Mean Deviation = \(\frac{\Sigma f|d_i|}{n}\) 

Explanation. 

Here we have to calculate the mean deviation from the mean. So, 

Mean = \(\Sigma \frac{f_ix_i}{n}\)  

Here, Mean = \(\frac{13630}{106}\) = 128.6

Therefore, Mean = 49

Mean Deviation = \(\frac{\Sigma f|d_i|}{N}\) 

Mean deviation for given data = \(\frac{1314}{106}\) = 12.39