Given a dataset [1, 2, 3, 4, 5, 6, 7, 8, 9], how would you use scipy to find the 33rd and 66th percentiles in one call?

hard📝 Application Q9 of 15

SciPy - Statistical Functions (scipy.stats) Basics

Given a dataset [1, 2, 3, 4, 5, 6, 7, 8, 9], how would you use scipy to find the 33rd and 66th percentiles in one call?

AUse stats.quantiles with n=3

BUse stats.quantiles with n=4

CUse stats.scoreatpercentile twice separately

DUse numpy.percentile with [33, 66]

Step-by-Step Solution

Solution:

Step 1: Understand quantiles with n=3
n=3 divides data into three equal parts, giving 33rd and 66th percentiles.
Step 2: Confirm stats.quantiles usage
stats.quantiles(data, n=3) returns two cut points at 33% and 66%.
Final Answer:
Use stats.quantiles with n=3 -> Option A
Quick Check:
n=3 quantiles = 33rd and 66th percentiles [OK]

Quick Trick: n=3 in quantiles gives tertiles (33%, 66%) [OK]

Common Mistakes:

MISTAKES

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

9 interactive learning modes - each teaches the same concept differently

Want More Practice?

15+ quiz questions · All difficulty levels · Free

More SciPy Quizzes