SAT Evaluating statistical claims: strategy + 6 practice questions | HOCSAT Learn
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7강Problem-Solving and Data Analysis

Evaluating statistical claims

강좌
Problem-Solving and Data Analysis
문제 유형
통계적 주장 평가
연습
연습 문제 6개
언어
베트남어 · 영어

강의 소개

Evaluating statistical claims on the SAT: observational studies versus experiments, when a cause-and-effect conclusion is allowed (random assignment), when a result generalizes (random selection), confounding variables, and comparing the results of two groups.

On the Digital SAT, evaluating statistical claims is a Problem-Solving and Data Analysis skill that usually appears as a short description of a study followed by the question of which conclusion the data support. The study may be a survey, an experiment with volunteers or research on a randomly selected sample; sometimes results for two groups are given to compare.

Wrong answers usually sound reasonable because they claim more than the data show: a causal conclusion from a survey, a volunteer result stretched to everyone, or a comparison of head counts instead of rates. This lesson reduces every question to two checks, whether there was random assignment and where the sample was randomly drawn from, with a decision table for eliminating choices in seconds. It ends with 6 self-graded practice questions, each with a full explanation.

배우게 될 내용

  • Tell an observational study from an experiment by how the question describes it.
  • Use random assignment to decide whether a cause-and-effect conclusion is allowed.
  • Use random selection to decide who a conclusion applies to.
  • Cut overly strong choices and compare groups by rates rather than counts.

강의 목차

  • Lesson goals
  • 1. Two kinds of studies
  • Key terms
  • 2. The decision table: what can you conclude?
  • 3. Association is not causation
  • 4. Comparing two groups
  • 5. Common traps
  • 6. Speed strategies

이 강의는 선택한 언어 버전이 아직 없어 영어 버전을 보여 줍니다.

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