binomial_cdf
std.stats.binomial_cdf · Level L5The probability of at most k successes in k + m independent trials with success probability p (m ≥ 1): I_{1−p}(m, k + 1).
P(K ≤ k) = I_{1−p}(m, k + 1), n = k + m
Signature
binomial_cdf(k: i64[n], m: i64[n], prob: f64[n]) → f64[n]
Structure
The function as NOVA stores it: one box per input, operation and output, and arrows that carry values. A double border marks another library function this one runs — called once, or by Scan once per element; select it to open that function.
- input
- operation
- constant
- call
- output
Verification
- Signature proven by NOVA’s shape solver, for every size.
- Agrees with the reference
Σ_{j≤k} C(n, j)·pʲ·(1 − p)ⁿ⁻ʲ, summed directlyto 80 digits (100-digit arithmetic), on all 40 test cases. - All 162 float64 results inside the running error bound; the closest uses 6% of it.
- Interpreter and NumPy backend return bit-identical results.
Accuracy in detail
- correctly rounded (the float64 nearest the exact value)
- 31%
- bit-equal to the NumPy formula in float64
- 100%
- largest error, in units in the last place
- 114
Large ulp counts appear where a result is tiny next to the numbers it is computed from (after cancellation, for example), so one unit in the last place is tiny too; the absolute error is still inside the bound. Results within their own error of zero are not counted.
Identity
Calls
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Called by
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sha256:7fcb4b17d03f602bf5d713be23772a9994e4a0c07a3faef175c350ae7e081a37The semantic hash of the graph. It changes when the program changes, and never when only its documentation does.