SciPy - Statistical Functions (scipy.stats) Basics
You want to find the probability of getting at most 2 successes in 8 trials with success chance 0.5 using scipy. Which code snippet correctly calculates this cumulative probability?
You want to find the probability of getting at most 2 successes in 8 trials with success chance 0.5 using scipy. Which code snippet correctly calculates this cumulative probability?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand cumulative probability for 'at most' successes
To find probability of at most 2 successes, use cumulative distribution function (cdf) up to 2.Step 2: Match correct function and parameters
binom.cdf(2, 8, 0.5) correctly computes P(X ≤ 2) for n=8, p=0.5. Other options either use pmf (exact), sf (survival function), or wrong parameter order.Final Answer:
binom.cdf(2, 8, 0.5) -> Option DQuick Check:
Use binom.cdf(k,n,p) for P(X ≤ k) [OK]
Quick Trick: Use binom.cdf for cumulative probability up to k [OK]
Common Mistakes:
MISTAKES- Using pmf instead of cdf for cumulative
- Swapping n and k parameters
- Using survival function sf for 'at most' instead of 'more than'
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