What has the larger expected value, sampling a number between 1 and n from a uniform distribution and multiplying it by itself, or sampling two numbers and multiplying them.
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A table has a column with full names(e.g. 'Tom Hardin'). write a python code to get distinct first names(i know its super easy in sql)
The HR personnel did not ask any questions, he only wanted to schedule an interview.
write code to generate iid draws from distribution X when we only have access to a random number generator
How do you map nicknames (Pete, Andy, Nick, Rob, etc) to real names?
If a PM says that they want to double the number of ads in Newsfeed, how would you figure out if this is a good idea or not?
You a 2 dices. What's the probability of getting at least one 4? Same question with n dice.
Sent a takehome test related to machine learning and variable importance
As a part of a bigger question: "How do you draw a uniform random sample from a circle in polar coordinates?"
If you give N riders with the probability of P a $5 coupon, what is the expected coupon spend
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