Interview Q&A / Data Science
Data Science interview questions
Statistics, pandas, cleaning data and exploratory analysis for analyst and data science roles.
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- What are Type I and Type II errors in hypothesis testing?
A Type I error is a false positive: rejecting a true null hypothesis, with probability alpha. A Type II error is a false negative: failing to reject a false null, with probability beta. Power is 1 - beta.
BeginnerQuick answer1 min read