Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kipimo kamili cha Binomial× | Upimishaji wa Ishara (Sign Test)× | |
|---|---|---|
| Nyanja | Takwimu | Takwimu |
| Familia≠ | Regression model | Hypothesis test |
| Mwaka wa asili≠ | 1988 | 1946 |
| Mwanzilishi≠ | Classical exact test; textbook treatment by Siegel & Castellan | W. J. Dixon & A. M. Mood |
| Aina≠ | Exact one-sample test for a proportion | Nonparametric median test |
| Chanzo asilia≠ | Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574 | Dixon, W. J. & Mood, A. M. (1946). The statistical sign test. Journal of the American Statistical Association, 41(236), 557–566. DOI ↗ |
| Majina mbadala≠ | exact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi | İşaret Testi (Sign Test), one-sample sign test, paired sign test |
| Zinazohusiana≠ | 2 | 4 |
| Muhtasari≠ | The exact binomial test checks whether the observed number of successes in a fixed number of independent trials is consistent with a pre-specified success probability p₀. Because it computes exact binomial tail probabilities rather than relying on a normal approximation, it is the gold standard for testing a proportion in small samples; this two-sided formulation follows Siegel & Castellan's classic treatment (1988). | The sign test is the simplest nonparametric hypothesis test for deciding whether the median of paired differences — or of a single sample — differs significantly from a hypothesised value. Formalised by W. J. Dixon and A. M. Mood in 1946, it imposes virtually no distributional assumptions and can be applied to any data where individual differences can be classified as positive or negative. |
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