Sentence examples for binomial distribution was calculated from inspiring English sources
A 3 δ confidence limit for binomial distribution was calculated using the formula with a level of confidence of 99%.
The relative frequency with a 95% confidence interval (P < 0.05) for a binomial distribution was calculated for the whole as well as each subtype of astrocytoma patients.
A 3 δ confidence limit for binomial distribution was calculated using the formula with a level of confidence of 99% Other co-cultivation parameters that have been shown to be decisive in establishing an efficient A. rhizogenes-mediated transformation protocol [ 10] were tested to establish co-cultivation conditions with A. tumefaciens using embryogenic callus cultures.
A 3 δ confidence limit for binomial distribution was calculated using the formula with a level of confidence of 99% The composition of the nutritive medium used for embryogenic callus proliferation prior to genetic transformation can directly influence the physiological status of the embryogenic callus and hence the success of transformation.
The number of fish required to give an accuracy of 10%, 20%and30%0% in the estimated mean for stipulated values of the true mean and the k parameter in the negative binomial distribution were calculated.
Exact 95% confidence intervals based on a binomial distribution were calculated for the responder rates.
Exact 95% confidence intervals (CI) based on the binomial distribution were calculated for proportions such as the complete response rate.
Exact 99.9% probability control limits based on the binomial distribution were calculated for each year from the numbers of cases and numbers of deaths within the hospital.
Exact 95% confidence intervals (CIs) based on the binomial distribution were calculated for the patients who claimed economic compensation, and large-sample-approximated 95% confidence intervals were calculated for patients in the Swespine database.
All tests were performed in JMP professional 6.0 (SAS Institute), only generalized linear models with negative binomial error distributions were calculated using R statistical package [ 40].
The binomial distribution was used to calculate if there was a significant difference in gender distribution.
