[Solved] You have a 2D NumPy array representing exam scores of 3 students in 4 subjects:import numpy as np from scipy.stats import describe scores = np.... | SciPy

SciPy - Statistical Functions (scipy.stats) Basics

You have a 2D NumPy array representing exam scores of 3 students in 4 subjects:

import numpy as np
from scipy.stats import describe
scores = np.array([[80, 90, 70, 85], [75, 85, 80, 90], [90, 95, 85, 100]])
stats = describe(scores, axis=1)
print(stats.mean)

What does stats.mean represent here?

AAn array of mean scores for each student across subjects

BThe overall mean score of all students and subjects

CThe mean score for each subject across all students

DThe mean of the first student's scores only

Step-by-Step Solution

Solution:

Step 1: Understand axis parameter
Using axis=1 means describe calculates stats across columns for each row (student).
Step 2: Interpret mean output
stats.mean is an array with mean scores per student across their subjects.
Final Answer:
An array of mean scores for each student across subjects -> Option A
Quick Check:
Axis=1 means row-wise stats [OK]

Quick Trick: Axis=1 computes stats per row [OK]

Common Mistakes:

MISTAKES

Confusing axis=1 with axis=0
Thinking mean is overall scalar
Assuming mean is per subject

Master "Statistical Functions (scipy.stats) Basics" in SciPy

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Time

More SciPy Quizzes

You have a 2D NumPy array representing exam scores of 3 students in 4 subjects:

Step 1: Understand axis parameter

Step 2: Interpret mean output

Final Answer:

Quick Check:

Want More Practice?