Hi everyone,
I would like to know how to calculate confidence intervals for non-binomial proportion data of which I have multiple samples? I'll give an example to clarify:
Proportion1 Proportion2 Proportion3 Proportion4 Proportion5 Proportion6
Sample1 0.93926 0 0.00204 0.0585 0.0002 0
Sample2 0 0.95882 0.00088 0.03912 0.00118 0
Sample3 0 0.95718 0.00116 0.04054 0.00112 0
Sample4 0 0.96226 0.00098 0.03546 0.0013 0
Sample5 0.93972 0 0.00196 0.05812 0.0002 0
Mean 0.375796 0.575652 0.001404 0.046348 0.0008 0
Confidence ? ? ? ? ? ?
Note: I can take the mean here and avoid Simpson's paradox effects because all sample sizes are equal.
Additionally, if anyone can give me some tips on appropriate sample sizes for this type of data, that would be much appreciated.
Thanks in advance!
Michael
I would like to know how to calculate confidence intervals for non-binomial proportion data of which I have multiple samples? I'll give an example to clarify:
Proportion1 Proportion2 Proportion3 Proportion4 Proportion5 Proportion6
Sample1 0.93926 0 0.00204 0.0585 0.0002 0
Sample2 0 0.95882 0.00088 0.03912 0.00118 0
Sample3 0 0.95718 0.00116 0.04054 0.00112 0
Sample4 0 0.96226 0.00098 0.03546 0.0013 0
Sample5 0.93972 0 0.00196 0.05812 0.0002 0
Mean 0.375796 0.575652 0.001404 0.046348 0.0008 0
Confidence ? ? ? ? ? ?
Note: I can take the mean here and avoid Simpson's paradox effects because all sample sizes are equal.
Additionally, if anyone can give me some tips on appropriate sample sizes for this type of data, that would be much appreciated.
Thanks in advance!
Michael
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