Upimaji wa Hipothesi sifuri
Upimaji wa Umuhimu wa Hipothesi sifuri (NHST) ndio mfumo mkuu wa takwimu katika utafiti wa majaribio. Hipothesi sifuri (H₀) huwakilisha dhana ya msingi—kawaida 'hakuna athari' au 'hakuna tofauti'—wakati hipothesi mbadala (H₁) huwakilisha dai linalojaribiwa. Jaribio huhesabu uwezekano wa kuona data ikizingatiwa kuwa H₀ ni kweli (p-value); ikiwa p ni ndogo sana, H₀ inakataliwa kwa ajili ya H₁. Iliyoundwa na Ronald Fisher na kupanuliwa na Neyman na Pearson mapema karne ya 20, NHST ni msingi wa utafiti wa uthibitisho lakini imekosolewa sana kwa matumizi mabaya na tafsiri isiyo sahihi.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd. link ↗
- Neyman, J., & Pearson, E. S. (1933). On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society, 231, 289–337. DOI: 10.1098/rsta.1933.0009 ↗
- Gigerenzer, G., & Marewski, J. N. (2015). Surrogate Science: The Idol of a Universal Method for Scientific Inference. Journal of Management, 41(2), 421–440. DOI: 10.1177/0149206314547522 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Null Hypothesis Significance Testing (NHST) and Hypothesis Formulation. ScholarGate. https://scholargate.app/sw/research-statistics/null-hypothesis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Kipindi cha KujiaminiTakwimu za Utafiti↔ compare
- P-Value na Umuhimu wa KimahesabuTakwimu za Utafiti↔ compare
- Nguvu ya Takwimu na Ukubwa wa SampuliTakwimu za Utafiti↔ compare
- Makosa ya Aina ya I na Aina ya IITakwimu za Utafiti↔ compare
Imerejelewa na
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