Solution:Step 1: Understand ttest_ind outputttest_ind compares means of two independent samples.Step 2: Evaluate p-value conditionSamples differ enough to produce p-value less than 0.05, so print(False).Final Answer:False -> Option AQuick Check:p_val > 0.05 is False for different samples [OK]

[Solved] Given this code:from scipy.stats import ttest_ind sample1 = [10, 12, 11, 13] sample2 = [14, 15, 16, 15] t_stat, p_val = ttest_ind(sample1, sample2) print(p_val > 0.05)What will be printed? | SciPy

SciPy - Statistical Tests

Given this code:

from scipy.stats import ttest_ind
sample1 = [10, 12, 11, 13]
sample2 = [14, 15, 16, 15]
t_stat, p_val = ttest_ind(sample1, sample2)
print(p_val > 0.05)

What will be printed?

AFalse

BTrue

CError

DNone

Step-by-Step Solution

Solution:

Step 1: Understand ttest_ind output
ttest_ind compares means of two independent samples.
Step 2: Evaluate p-value condition
Samples differ enough to produce p-value less than 0.05, so print(False).
Final Answer:
False -> Option A
Quick Check:
p_val > 0.05 is False for different samples [OK]

Quick Trick: p-value less than 0.05 means reject null (print False) [OK]

Common Mistakes:

MISTAKES

Assuming p-value is greater than 0.05
Confusing boolean output
Ignoring sample mean differences

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Given this code:

Step 1: Understand ttest_ind output

Step 2: Evaluate p-value condition

Final Answer:

Quick Check:

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