Statistics Interactive Lab

Statistics isn’t about “right answers” — it’s about measuring the size of uncertainty.
Play with sampling error hands-on, and you’ll develop a visceral sense of why sample size matters.

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1. Sampling Error Lab

Adjust the population proportion and the sample size.
You’ll see with your own eyes that even from the same population, sample estimates inevitably vary.

표본오차 실험실

모집단 비율 (예: 찬성률, %)

표본 크기 (n)

반복 횟수

결과 요약

평균 추정치56.0%

변동성 (표준편차)8.8

표본별 추정치 분포

63%

50%

57%

67%

63%

67%

43%

60%

53%

47%

53%

53%

50%

50%

43%

53%

33%

50%

53%

60%

63%

53%

67%

70%

63%

63%

63%

47%

57%

60%

47%

70%

53%

47%

77%

50%

63%

57%

43%

53%

47%

57%

63%

50%

43%

63%

70%

47%

60%

63%

* 표본 크기가 커질수록 평균은 안정되고 변동성이 줄어듭니다.

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2. How Sample Size Changes Interpretation

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The core of statistics is knowing uncertainty and working with it.
Once you internalize the feel of sampling error, numbers start to mean something different.