Statistics

How would you handle an imbalanced dataset?

How can you tell if a given coin is biased? (Hint- We want the answer in terms of Hypothesis Theorem)

Is the mean imputation of missing data acceptable practice? Why or why not?

How would you perform clustering on a million unique keywords, assuming you have 10 million data points—each one consisting of two keywords, and a metric measuring how similar these two keywords are? How would you create this 10 million data ...

What is root cause analysis? How to identify a cause vs. a correlation? Give examples.

You are given a table with the temperature of a particular day. Write a SQL query to find the date IDs that had higher temperature than the previous day. ID Date Temperature (c) 1 2020-01-01 17 2 2020-01-02 23 3 2020-01-03 20 4 2020-01-04 31

Consider the number of people that show up at a bus station is Poisson with mean 2.5/h. What is the probability that at most three people show up in a four-hour period?

What is the Central Limit Theorem? Explain it. Why is it important?

How do you assess the statistical significance of an insight?

You are at a Casino and have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected payout?