[Solved] Find the mistake in this code:import numpy as np from scipy import stats data = np.array([3, 5, 7, 9]) ci = stats.t.interval(0.95, len(data), loc=np.mean(data), scale=stats.sem(data)) print(ci) | SciPy

SciPy - Statistical Functions (scipy.stats) Basics

Find the mistake in this code:

import numpy as np
from scipy import stats

data = np.array([3, 5, 7, 9])
ci = stats.t.interval(0.95, len(data), loc=np.mean(data), scale=stats.sem(data))
print(ci)

Aloc parameter should be median, not mean

BDegrees of freedom should be len(data)-1, not len(data)

Cscale parameter should be standard deviation, not SEM

Dt.interval does not accept confidence level as first argument

Step-by-Step Solution

Solution:

Step 1: Check degrees of freedom parameter
Degrees of freedom for t-distribution is sample size minus one, so it should be len(data)-1.
Step 2: Verify other parameters
loc as mean and scale as SEM are correct; confidence level as first argument is correct.
Final Answer:
Degrees of freedom should be len(data)-1, not len(data) -> Option B
Quick Check:
Degrees of freedom = sample size minus one [OK]

Quick Trick: Use df = n - 1 for t-distribution degrees of freedom [OK]

Common Mistakes:

MISTAKES

Using sample size instead of df
Confusing mean with median
Misusing scale parameter

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More SciPy Quizzes

Find the mistake in this code:

Step 1: Check degrees of freedom parameter

Step 2: Verify other parameters

Final Answer:

Quick Check:

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