How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Onsite rounds at J.P. Morgan.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at J.P. Morgan during technical interviews.

Test whether samples follow a binomial distribution | J.P. Morgan Interview Question

Test whether samples follow a binomial distribution

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's understanding of statistical hypothesis testing, goodness-of-fit assessment for discrete distributions, parameter estimation for parametric models, and interpretation of inferential results.

J.P. Morgan

Jan 22, 2026, 12:00 AM

Data Scientist

Onsite

Machine Learning

You collect a dataset that you believe comes from a binomial process. Each observation is a count of successes.

You have i.i.d. samples $x_1,\dots,x_m$ , where each $x_i$ is the number of successes out of $n$ trials.
You want to test whether the sample distribution is consistent with $\text{Binomial}(n, p)$ for some (possibly unknown) $p$ .

Question: What statistical test(s) would you use to assess whether the sample distribution follows a binomial distribution, and how would you perform the test (hypotheses, parameter estimation, test statistic, assumptions, and interpretation)?

Solution

Show

Comments (0)

Loading comments...

Browse More Questions

More Machine Learning•More J.P. Morgan•More Data Scientist•J.P. Morgan Data Scientist•J.P. Morgan Machine Learning•Data Scientist Machine Learning