Onsite round focused on statistics and probability for a research-scientist role

The data-generating process is y = X + ε, where X ~ N(0,1) and ε ~ N(0,1) are independent. If you instead regress X on y using ordinary least squares, what is the regression coefficient and how do you derive it? 2. In a village every family has either 1, 2, or 3 children. A random sample of 100 children yields: 50 came from 1-child families, 30 from 2-child families, and 20 from 3-child families. (a) Estimate the proportion of 1-child families in the village. (b) Construct a 95% confidence interval for that proportion. (c) How could you obtain an exact interval by modeling the family-size proportions with a Dirichlet prior and deriving the posterior credible interval?

Use β = Cov(X, y) / Var(y) for Q1. For Q2, convert child counts to family counts via Bayes or likelihood equations, then apply multinomial/Dirichlet formulas.

Upstart Data Scientist interview question: Estimate and Derive Regression Coefficient for X on y. {"blocks": [{"key": "4b2f99c9", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {...