Binomial Confidence Interval
References
Confidence intervals are obtained by a procedure first given in
Clopper and Pearson (1934). This guarantees that the confidence
level is at least ‘conf.level’, but in general does not give the
shortest-length confidence intervals.
95 percent confidence intereval
res <- sapply(c(28,18,7,6,3,3, 36,30,15,14,4,3),
function(x) {
res <- binom.test(x = x, n = 55)
c(res$statistic, res$estimate, res$conf.int)
})
t(round(res, 3))
## number of successes probability of success
## [1,] 28 0.509 0.371 0.646
## [2,] 18 0.327 0.207 0.467
## [3,] 7 0.127 0.053 0.245
## [4,] 6 0.109 0.041 0.222
## [5,] 3 0.055 0.011 0.151
## [6,] 3 0.055 0.011 0.151
## [7,] 36 0.655 0.514 0.778
## [8,] 30 0.545 0.406 0.680
## [9,] 15 0.273 0.161 0.410
## [10,] 14 0.255 0.147 0.390
## [11,] 4 0.073 0.020 0.176
## [12,] 3 0.055 0.011 0.151