Understand statistics as inference about population parameters from random samples.
Bound generalization by the sampling frame
Problem
Evaluate the supported inference scope for a simple random sample from a complete district-student roster, including limits on broader generalization and remaining uncertainty.
Big Picture
What this problem is really about
The largest design-supported population is bounded by the sampling frame: ask who had a genuine chance to enter under the actual procedure. Random sampling from a complete local roster supports inference to that roster's population, not automatically to a broader region whose members were absent. Sampling variability and possible nonresponse remain even when the frame and chance mechanism are sound.
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