[Solved] What will be the output of the following code?import scipy.stats as stats a = [5, 7, 8, 6] b = [6, 9, 7, 10] c = [15, 18, 20, 17] result = stats.f_oneway(a, b, c) print("{:.3f}".format(result.pvalue)) | SciPy

SciPy - Statistical Tests

What will be the output of the following code?

import scipy.stats as stats

a = [5, 7, 8, 6]
b = [6, 9, 7, 10]
c = [15, 18, 20, 17]

result = stats.f_oneway(a, b, c)
print("{:.3f}".format(result.pvalue))

A0.000

B0.500

C0.050

D0.100

Step-by-Step Solution

Solution:

Step 1: Understand the data groups
Groups a and b have similar means (~6.5-8), group c has much higher values (~17.5).
Step 2: Interpret ANOVA result
Because group c differs strongly, the p-value will be very low, indicating significant difference.
Final Answer:
0.000 -> Option A
Quick Check:
Big group mean difference -> low p-value = 0.000 [OK]

Quick Trick: Big mean differences give very low p-values [OK]

Common Mistakes:

MISTAKES

Assuming p-value is high when groups differ
Confusing p-value with F-statistic
Rounding errors in p-value

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What will be the output of the following code?

Step 1: Understand the data groups

Step 2: Interpret ANOVA result

Final Answer:

Quick Check:

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