Interview Questions

Lucas G. - "Null hypothesis (H0): the coin is fair (unbiased), meaning the probability of flipping a head is 0.5 Alternative (H1): the coin is unfair (biased), meaning the probability of flipping a head is not 0.5 To test this hypothesis, I would calculate a p-value which is the probability of observing a result as extreme as, or more extreme than, what I say in my sample, assuming the null hypothesis is true. I could use the probability mass function of a binomial random variable to model the coin toss b"See full answer

Samya S. - "Asked clarifying questions Thought through the motivation (came up with a mission and business model, modeled it on Safeway with agreement from the interviewer User segmentation both by age groups and behavior, then prioritized user group Went through user journey (both physical store and online) to identify pain points Prioritized pain points Came up with 5 solutions Interviewer picked one for me to deep dive. I went into detail on that one. "See full answer

Emiliano I. - "Look for the main variables and see if there differences in the distributions of the buckets. Run a linear regression where the dependent variable is a binary variable for each bucket excluding one and the dependent variable is the main kpi you want to measure, if one of those coefficients is significant, you made a mistake. "See full answer