Lines Matching refs:trials

28       RealType trials() const;
32          RealType trials,
37          RealType trials,
42       // estimate min/max number of trials:
62 the probability of observing k successes in N trials, with the
64 binomial distribution assumes that p is fixed for all trials.
67 (the number of trials is a fixed property of the distribution)
69 the random variable is the number of trials, for a fixed number of successes.]
94 Constructor: /n/ is the total number of trials, /p/ is the
105    RealType trials() const;
112       RealType trials,
120 [[trials][The total number of trials conducted.]]
128 For example, if you observe /k/ successes from /n/ trials the
189       RealType trials,
197 [[trials][The total number of trials conducted.]]
207 For example, if you observe /k/ successes from /n/ trials the
239 This function estimates the minimum number of trials required to ensure that
253 Returns the smallest number of trials we must conduct to be 95% sure
263 This function estimates the maximum number of trials we can conduct
277 Returns the largest number of trials we can conduct and still be 95% certain
297    [The probability of obtaining [*exactly k successes] from n trials
302    [The probability of obtaining [*k successes or fewer] from n trials
307    [The probability of obtaining [*more than k successes] from n trials
312    [Given a binomial distribution with ['n] trials, success fraction ['p] and probability ['P], 
318    [Given a binomial distribution with ['n] trials, success fraction ['p] and probability ['Q], 
339 be successful (the success fraction), /n/ is the number of trials,