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Posted 04-10-2018 09:24 AM
(1617 views)

Hi,

I have a data set with a pass/fail variable and would like to test for significant differences between these proportions by gender (M/F). The reason I am unsure about how to proceed with this analysis is because the pass/fail variable has three levels (fail below/ pass/ fail above). I have two questions:

1) Is there a test appropriate for determining statistically significant differences between two groups when the proportion being tested is not binary?

2) Taking it a step further, is there a way to test differences between each level (e.g. comparing the proportion of males who failed below with the proportion of females who failed below)?

Thanks!

Dominique

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1. Use the Chi-Squared test in PROC FREQ

2. Use the Chi-Squared test in PROC FREQ

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Paige Miller

Paige Miller

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Hey,

- I would suggest you read this article about statistically significant and determin your own level as needed.
- Well you could easily divide failed males by failed famles and great a measure that way

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1. Use the Chi-Squared test in PROC FREQ

2. Use the Chi-Squared test in PROC FREQ

--

Paige Miller

Paige Miller

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