What are some go to interview questions you use to gauge someone’s basic statistical knowledge: statistical significance and model output interpretations?

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parametric v non parametric.
5 rules of linear regression
explain a unit root
what is stationary data
stochastic v deterministic
list 2 algorithms of each of the above
how do you handle categorical data?
give me the weaknesses of k-means and how do we evaluate clustering
hypothesis test
positive p, negative p power, sensitivity specificity
logit function
odds ratio
why do we care about distribution of variance and can we model that?

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It most certainly does. Data science programs are pretty bad, they just teach you how to use sklearn.

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I start from p values and types of errors , and the ability to understand and interpret parameterized models. And the. The boosting bagging stuff. Hope this helps

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Honestly, the worst is when they treat a package as an algorithm, e.g. I used Biriyani regression. (Facepalm)

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A lot of times, in an interview case, a person will say “this distribution isn’t a normal distribution”. I usually ask them what distribution it actually is.

I also ask what a confidence interval is, the shit answer being “the range at which 95% of your data falls between”.

funny

Have them walk you through basic regression diagnostics

@op Assuming you are preparing for an interview: are you going to be the interviewer or interviewee?

Keep asking why and how they think/decide on something. If they get impatient and struggle, I would flag them

Wow - that’s a good summary of ISLR 🤓

I appreciate that !

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