Making Inferences from Samples
Aligned to S-IC.B.4 — Common Core State Standards for Mathematics.
What this lesson teaches
A well-chosen random sample lets us estimate facts about a whole population, but every estimate has a margin of error reflecting uncertainty.
Worked example
A poll of 1,000 random voters finds 52% support a measure, with a ±3% margin — so true support is likely between 49% and 55%.
Practice questions
- Why must a sample be random to be trustworthy?
- If a poll says 60% ±4%, what's the likely range?
- What can bias a survey's results?
Watch the lesson
Every lesson comes with a video taught in English and Spanish — the same video the QR code in the printed workbook opens.
▶ Watch this lessonEn español
Hacer inferencias a partir de muestras
Una muestra aleatoria bien elegida nos permite estimar datos sobre toda una población, pero cada estimación tiene un margen de error que refleja la incertidumbre.
Ejemplo: Una encuesta a 1,000 votantes elegidos al azar encuentra que el 52% apoya una medida, con un margen de ±3% — por lo que el apoyo real probablemente está entre el 49% y el 55%.
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