# The code to print out the mean height is already included. Complete the code for the median height.
# Replace None with the correct code.
# Use np.std() on the first column of np_baseball to calculate stddev. Replace None with the correct code.
# Do big players tend to be heavier ? Use np.corrcoef() to store the correlation between the first and second column off np_baseball in corr.
# Replace None with the correct code.
# np_baseball is available

# Import numpy
import numpy as np

# Print mean height (first column)
avg = np.mean(np_baseball[:,0])
print("Average: " + str(avg))

# Print median height. Replace 'None'
med = np.median(np_baseball[:,0])
print("Median: " + str(med))

# Print out the standard deviation on height. Replace 'None'
stddev = np.std(np_baseball[:,0])
print("Standard Deviation: " + str(stddev))

# Print out correlation between first and second column. Replace 'None'
corr = np.corrcoef(np_baseball[:,0], np_baseball[:,1])
print("Correlation: " + str(corr))