[Solved] What will be the output of this code?import numpy as np from scipy import stats data = np.array([2, 4, 6, 8, 10]) q = stats.quantiles(data, n=4) print(q) | SciPy

SciPy - Statistical Functions (scipy.stats) Basics

What will be the output of this code?

import numpy as np
from scipy import stats
data = np.array([2, 4, 6, 8, 10])
q = stats.quantiles(data, n=4)
print(q)

A[3.0 5.0 7.0]

B[4.0 6.0 8.0]

C[2.0 4.0 6.0]

D[5.0 7.0 9.0]

Step-by-Step Solution

Solution:

Step 1: Understand stats.quantiles with n=4
It returns quartiles dividing data into 4 equal parts.
Step 2: Calculate quartiles for data
Quartiles are at 25%, 50%, 75%: 4.0, 6.0, 8.0 respectively.
Final Answer:
[4.0 6.0 8.0] -> Option B
Quick Check:
Quartiles of data = [4.0 6.0 8.0] [OK]

Quick Trick: stats.quantiles(data, n=4) returns quartiles [OK]

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What will be the output of this code?