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Exact(5)
Error bars (often too small to be seen) indicate plus/minus one standard error of proportion.
cStandard error of proportion.
All error bars represent the standard error of proportion.
All phenotypes were scored for individual neurons and error bars represent the standard error of proportion.
For this type of data, the standard error of proportion would seem appropriate or a chi square analysis could be done to compare the penetrance of different strains.
Similar(55)
The standard error of proportions equation was used to calculate the sample size [ 22].
Standard errors of proportions of healthy animals were only available for the whole dataset, due to software limitations.
All confidence intervals were calculated at the 99% level (alpha = 0.01) and those listed for proportions were based on binomial estimation of the standard error of a proportion.
The standard error of each proportion was calculated as follows; standard error = √p 1-p /n), where p is proportion and n is sample size.
Sample size was calculated with regard to confidence intervals for estimated population frequencies (95% CI): a maximal margin of error for proportions of ± 6.25% for questions answerable dichotomously was considered narrow enough (i.e. the maximum width of the 95% CI for proportions should be 12.5% for questions with only two response categories e.g. yes/no).
We are all of the view that yesterday's statement contained within it an error of huge proportion.
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error of prevalence
error of figure
error of probability
error of rate
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error of course
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error of complacency
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error of colossal
error of fact
error of terminology
error of judgement
error of Nature
error of spring
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