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Binomial test is an exact test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories using sample data.
Applications, In statistical software packages & Large samples
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test probability binomial die displaystyle distribution one-tailed two-tailed expected use hypothesis successes one pi null would number two sample example
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Binomial test | is a | exact test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories using sample data | 0.90 | text |
| Binomial test | is a | statistical hypothesis test used to determine whether the proportion of successes in a sample differs from an expected proportion in a binomial distribution | 0.90 | text |
| Binomial test | is a | case where the null hypothesizes that two categories occur with equal frequency | 0.90 | text |
| the example below | instance of | Large samplesFor large samples | 0.80 | text |
| the binomial distribution is well approximated by convenient continuous distributions | instance of | Large samplesFor large samples | 0.80 | text |
| and these are used as the basis for alternative tests that are much quicker to compute | instance of | Large samplesFor large samples | 0.80 | text |
| such as Pearson's chi-squared test | instance of | Large samplesFor large samples | 0.80 | text |
| the G-test | instance of | Large samplesFor large samples | 0.80 | text |
| Binomial test | related to Common use | One | 0.60 | section |
| Binomial test | related to Common use | Tables | 0.60 | section |
| Binomial test | related to Common use | However | 0.60 | section |
| Binomial test | related to Common use | When | 0.60 | section |
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