# -*- coding: utf-8 -*-
"""
Created on Tue Jun 18 03:20:38 2019

@author: kunal
"""

x=[ 13, 18, 13, 14, 13, 16, 14, 21, 13]

import numpy as np

print("Mean value is: ", np.mean(x))
print("Median value is: ", np.median(x))
print("Standard Deviation is: ", np.std(x))

from scipy import stats
print("Mode value is: ", stats.mode(x)[0])
 

print("Minimum value is: ", np.min(x))
print("Maximum value is: ", np.max(x))

04a235373ca1ec0d95bf2fbf28b334fb009ecd27
<mask token>

<mask token>
print('Mean value is: ', np.mean(x))
print('Median value is: ', np.median(x))
print('Standard Deviation is: ', np.std(x))
<mask token>
print('Mode value is: ', stats.mode(x)[0])
print('Minimum value is: ', np.min(x))
print('Maximum value is: ', np.max(x))

<mask token>
x = [13, 18, 13, 14, 13, 16, 14, 21, 13]
<mask token>
print('Mean value is: ', np.mean(x))
print('Median value is: ', np.median(x))
print('Standard Deviation is: ', np.std(x))
<mask token>
print('Mode value is: ', stats.mode(x)[0])
print('Minimum value is: ', np.min(x))
print('Maximum value is: ', np.max(x))

<mask token>
x = [13, 18, 13, 14, 13, 16, 14, 21, 13]
import numpy as np
print('Mean value is: ', np.mean(x))
print('Median value is: ', np.median(x))
print('Standard Deviation is: ', np.std(x))
from scipy import stats
print('Mode value is: ', stats.mode(x)[0])
print('Minimum value is: ', np.min(x))
print('Maximum value is: ', np.max(x))

# -*- coding: utf-8 -*-
"""
Created on Tue Jun 18 03:20:38 2019

@author: kunal
"""

x=[ 13, 18, 13, 14, 13, 16, 14, 21, 13]

import numpy as np

print("Mean value is: ", np.mean(x))
print("Median value is: ", np.median(x))
print("Standard Deviation is: ", np.std(x))

from scipy import stats
print("Mode value is: ", stats.mode(x)[0])
 

print("Minimum value is: ", np.min(x))
print("Maximum value is: ", np.max(x))
