P-value and Reduction to Absurdity
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초록
Statistical hypothesis testing is a procedure that verifies a given hypothesis through statistical analysis, using collected data. Hypothesis testing employs the p-value to draw conclusions about the underlying population via sampled data. The p-value, a calculated probability from sampled data, is an important tool in determining whether to reject the null hypothesis. However, most users seem to have difficulties understanding the logic behind it (e.g., [1]). Hence, this paper aims to help users understand and use the p-value adequately by elaborating on its logical meaning.
Abstract
Statistical hypothesis testing is a procedure that verifies a given hypothesis through statistical analysis, using collected data. Hypothesis testing employs the p-value to draw conclusions about the underlying population via sampled data. The p-value, a calculated probability from sampled data, is an important tool in determining whether to reject the null hypothesis. However, most users seem to have difficulties understanding the logic behind it (e.g., [1]). Hence, this paper aims to help users understand and use the p-value adequately by elaborating on its logical meaning.
참고문헌 (2)
- Nuzzo R, "Statistical errors", Nature, 506, pp.150~152 (2014)
- 정은지, "고혈압 환자 대상 저나트륨 식생활에 대한 보건소 영양교육이 혈압, 혈액 성상 및 나트륨섭취에 미치는 영향", 대한지역사회영양학회지, 17(6), pp.752~771 (2012), 대한지역사회영양학회