search for: meadian

...m{-1}$) as an approximation for fish density (neglecting variable capture efficiencies). Note: there were no oblique banded rattails in this dataset, although we have a \textit{<TS>-length} regression for them (see Table \ref{ts length regressions}). Box plot centre line = meadian, box limits are $25^{th}$ and $75^{th}$ quartiles, whiskers represent 1.5 times the interquartile range from the median, and points outside the whiskers are the tails of the distributions.} \end{figure} ----------------------- This works fine, but it is cumbersome for someone who li...

...m{-1}$) as an approximation for fish density (neglecting variable capture efficiencies). Note: there were no oblique banded rattails in this dataset, although we have a \textit{<TS>-length} regression for them (see Table \ref{ts length regressions}). Box plot centre line = meadian, box limits are $25^{th}$ and $75^{th}$ quartiles, whiskers represent 1.5 times the interquartile range from the median, and points outside the whiskers are the tails of the distributions.} \end{figure} ----------------------- This works fine, but it is cumbersome for someone who li...

Hi! I have a data set of 86 values that are non-normally distributed (counts). The median value is 10. I want to get an estimate of the 95% confidence interval for this median value. I tried to use a one-sample Wiolcoxin test: wilcox.test(Comps,mu=10,conf.int=TRUE) and got the following output: Wilcoxon signed rank test with continuity correction data: Comps V = 2111, p-value = 0.05846