93 lines
2.1 KiB
Plaintext
93 lines
2.1 KiB
Plaintext
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{{alias}}( x[, n][, options] )
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Computes an exact test for the success probability in a Bernoulli
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experiment.
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The returned object comes with a `.print()` method which when invoked will
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print a formatted output of the results of the hypothesis test.
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Parameters
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----------
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x: (number|Array<number>)
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Number of successes or two-element array with successes and failures.
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n: Array<number> (optional)
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Total number of observations.
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options: Object (optional)
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Options.
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options.alpha: number (optional)
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Number in the interval `[0,1]` giving the significance level of the
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hypothesis test. Default: `0.05`.
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options.alternative: string (optional)
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Indicates whether the alternative hypothesis is that the mean of `x` is
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larger than `mu` (`greater`), smaller than `mu` (`less`) or equal to
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`mu` (`two-sided`). Default: `'two-sided'`.
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options.p: number (optional)
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Hypothesized probability under the null hypothesis. Default: `0.5`.
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Returns
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-------
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out: Object
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Test result object.
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out.alpha: number
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Used significance level.
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out.rejected: boolean
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Test decision.
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out.pValue: number
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p-value of the test.
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out.statistic: number
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Sample proportion.
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out.ci: Array<number>
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1-alpha confidence interval for the success probability.
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out.nullValue: number
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Assumed success probability under H0.
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out.alternative: string
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Alternative hypothesis (`two-sided`, `less` or `greater`).
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out.method: string
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Name of test.
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out.print: Function
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Function to print formatted output.
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Examples
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--------
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> var out = {{alias}}( 682, 925 )
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{
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'pValue': ~3.544e-49,
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'statistic': ~0.737
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// ...
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}
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> out = {{alias}}( [ 682, 925 - 682 ] )
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{
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'pValue': ~3.544e-49,
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'statistic': ~0.737
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// ...
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}
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> out = {{alias}}( 21, 40, {
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... 'p': 0.4,
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... 'alternative': 'greater'
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... })
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{
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'pValue': ~0.074,
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'statistic': 0.525
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// ...
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}
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See Also
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--------
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