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  1. Prepare
  2. Tutorials
  3. 10 Days of Statistics
  4. Day 0: Mean, Median, and Mode
  5. Discussions

Day 0: Mean, Median, and Mode

  • promitmoitra
     + 0 comments

    Python 3: Thanks to srious, wasn't able to figure out how to accept the input. Solution uses only numpy.

    import numpy as np

N=int(input())
X=list(map(int, input().split()))
mean=np.mean(X)
X.sort()
if N%2!=0:
    median=X[N//2+1]
else:
    median=np.mean([X[N//2-1],X[(N//2)]])
v,c = np.unique(X,return_counts=True)
mode=v[c==c.max()].min()

print("{0:.1f}".format(mean))
print("{0:.1f}".format(median))
print("{}".format(mode))