Inference from sample statistics
- Course
- Problem-Solving and Data Analysis
- Question type
- Inference from sample statistics
- Practice
- 6 practice questions
- Language
- Vietnamese · English
About this lesson
Inference from samples on the SAT: random samples and the population they describe, estimating a population count from a sample proportion, margin of error and the range of plausible values, the effect of sample size, and spotting biased sampling methods.
On the Digital SAT, inference from sample statistics is a Problem-Solving and Data Analysis skill. A question usually describes a survey or a random inspection and then asks for an estimated count in the population, the plausible range given a margin of error, which sampling method is reliable, or which conclusion the data support.
There is almost no calculation, so points are lost by reading too much into the data: stretching one school's result to a whole city, treating a margin of error as a certainty or as a range for individuals, or trusting a large sample even when it is biased. This lesson focuses on the key question of where the sample came from, how to turn a margin of error into a range, and the cautious wording that correct answers tend to use. It ends with 6 self-graded practice questions, each with a full explanation.
What you'll learn
- Identify which population a conclusion from a random sample applies to.
- Estimate a population count as the sample proportion times the population size.
- Read a margin of error as a range of plausible values and know when no conclusion follows.
- Spot biased samples and see why larger samples give smaller margins of error.
Lesson contents
- Lesson goals
- 1. Samples and populations
- Key terms
- How far can you generalize?
- 2. Estimating a count in the population
- 3. Margin of error and plausible values
- Sample size and margin of error
- 4. Spotting biased samples
- 5. Common traps
- 6. Speed strategies
This lesson is part of HOCSAT Learn
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