[Solved] What will be the output of this code?import pandas as pd from scipy import stats df = pd.DataFrame({'values': [10, 20, 30, 40, 50]}) result = stats.zscore(df['values']) print(result.round(2).tolist()) | SciPy

SciPy - Integration with Scientific Ecosystem

What will be the output of this code?

import pandas as pd
from scipy import stats

df = pd.DataFrame({'values': [10, 20, 30, 40, 50]})
result = stats.zscore(df['values'])
print(result.round(2).tolist())

A[1, 2, 3, 4, 5]

B[-1.41, -0.71, 0.00, 0.71, 1.41]

C[10, 20, 30, 40, 50]

D[0, 0, 0, 0, 0]

Step-by-Step Solution

Solution:

Step 1: Understand z-score calculation
Z-score standardizes data by subtracting mean and dividing by std deviation.
Step 2: Calculate z-scores for values
Values are equally spaced; z-scores will be symmetric around 0 with values approximately -1.41 to 1.41.
Final Answer:
[-1.41, -0.71, 0.00, 0.71, 1.41] -> Option B
Quick Check:
Z-score output = [-1.41, -0.71, 0.00, 0.71, 1.41] [OK]

Quick Trick: Z-score centers data around zero with std deviation scale [OK]

Common Mistakes:

Expecting original values
Confusing z-score with rank
Ignoring rounding

Master "Integration with Scientific Ecosystem" in SciPy

9 interactive learning modes - each teaches the same concept differently

Learn Why Deep Visual Try Challenge Project Recall Time

More SciPy Quizzes

What will be the output of this code?

Step 1: Understand z-score calculation

Step 2: Calculate z-scores for values

Final Answer:

Quick Check:

Want More Practice?