Faculty solution guide

Expected Value as Long-Run Balance

Accept equivalent statistically correct reasoning. Require context, design, assumptions, uncertainty, and limits.

Problem 1

State the question and data structure, apply computing and interpreting probability-weighted averages, check assumptions or design conditions, quantify uncertainty, and interpret the result in context.

Problem 2

A common error is to report a calculation without identifying the population, design, assumptions, uncertainty, context, or limits on causal and generalizing claims.

Problem 3

A complete response identifies population, cases, variables, parameter or estimand, study design, and conditions for Expected Value as Long-Run Balance.

Problem 4

Repair the earliest invalid assumption, display, calculation, or inference; then rerun the interpretation and state how the correction changes the claim.

Problem 5

A strong application defines context, data source, design, analysis plan, uncertainty, and limits on generalization or causation.

Problem 6

Use at least two of: independent recomputation, alternative graph or model, residual/diagnostic check, resampling, sensitivity analysis, subgroup analysis, simulation, or comparison with a known benchmark.

β Beta Program