You want to simulate the number of successes in 20 trials where each trial has a 30% chance of success. Which scipy.stats function call correctly generates 10 such random samples?

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SciPy - Statistical Functions (scipy.stats) Basics

You want to simulate the number of successes in 20 trials where each trial has a 30% chance of success. Which scipy.stats function call correctly generates 10 such random samples?

Abinomial.rvs(20, 0.3, 10)

Bbinom.rvs(trials=20, prob=0.3, samples=10)

Cbinom.rvs(n=20, p=0.3, size=10)

Dbinom.sample(n=20, p=0.3, size=10)

Step-by-Step Solution

Solution:

Step 1: Identify correct distribution and parameters
The binomial distribution models number of successes in fixed trials. Parameters are n for trials, p for success probability, and size for sample count.
Step 2: Check each option's correctness
Only binom.rvs(n=20, p=0.3, size=10) uses correct function binom.rvs and correct parameter names.
Final Answer:
binom.rvs(n=20, p=0.3, size=10) -> Option C
Quick Check:
binom.rvs with n, p, size correct = binom.rvs(n=20, p=0.3, size=10) [OK]

Quick Trick: Use binom.rvs with n, p, size for binomial samples [OK]

Common Mistakes:

MISTAKES

Using wrong parameter names like trials or prob
Using non-existent functions like binomial.rvs
Confusing sample with rvs method

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You want to simulate the number of successes in 20 trials where each trial has a 30% chance of success. Which scipy.stats function call correctly generates 10 such random samples?

Step 1: Identify correct distribution and parameters

Step 2: Check each option's correctness

Final Answer:

Quick Check:

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