Paypal Statistics & Math Interview Questions
Practice the exact questions companies are asking right now.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Why does the CLT matter?
Explain the Central Limit Theorem (CLT) and why it matters in data science and machine learning interviews. Then show how you would use the CLT to bui...
Explain and interpret p-values correctly
Context You are evaluating a change to a fraud decision rule (e.g., a new threshold or step-up authentication rule). You run an experiment comparing C...
Explain and use p-values and regression regularization
You are interviewing for a Senior Data Scientist role. Answer the following statistics questions clearly and precisely: 1) How would you explain a p-v...
Explain confounding with an Uber example
You are interviewing for a Senior Data Scientist role at Uber. 1) Define confounding in the context of estimating causal effects from observational da...
Explain confounding with an Uber example
Question In the context of analyzing Uber/Uber Eats data, explain what a confounding effect is. 1. Define confounder and why it can bias an observed r...
Decide if a dice-betting game is favorable
You are considering a game against a “house” using fair six-sided dice. Rules: - You roll one die; the house rolls one die. - If your roll is strictly...
Should you play a dice payout game?
Two players each roll a fair six-sided die once. - If you win (your roll > opponent’s roll), the opponent pays you $n. - If the opponent wins or it’s ...
Optimize thresholds under fraud costs
Cost-sensitive Thresholding for Fraud (ATO) Classifier Context You are evaluating a binary classifier for account takeover (ATO) fraud on a large vali...
Interpret p-values and common pitfalls
In a Fraud Data Science interview, you are asked “some p-value questions.” Answer the following in a fraud/experimentation context: 1) Define a p-valu...
Calculate Probability of Heads in Coin Flip Experiment
Coin Flips: Counting and Binomial Probabilities Context Assume 10 independent flips of a fair coin (probability of heads p = 0.5 for each flip). Each ...
Explain p-values and interpret regressions
Stats Rapid-Fire: p-values, regression interpretation, L1/L2 Answer the following as if speaking to a PM and then to a technical audience. Part A — p-...