Explain the difference between type 1 and type 2 error.

Question

Anonymous · Accepted Answer

Type I error: incorrect rejection of the null hypothesis which is true.
Type II error: incorrectly retaining a false null hypothesis.

Anonymous · Answer

The key in these questions is to cover the fundamentals, and be ready for the back-and-forth with the interviewer.
      

Might be worth doing a mock interview with one of the Microsoft or ex-Microsoft  Data Scientist experts on Prepfully? They give real-world practice and guidance, which is pretty helpful.
      

prepfully.com/practice-interviews

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