I think Bobby is right, we need more details. E.g. if you use SPSS you can look at their help section (tons better now than it used to be). There are also text books which explain SPSSmprocedures and include output which would help also.
I realise that you may not be using SPSS but I would imagine similar principles would apply to the package you are using.
ha ha
No, I'm not using SPSS!
I'm using Prism 4 by Graphpad.
I'm studying a blood value in 2 groups of people (patient vs controls)
The patient group demonstrates a "spike" in blood value at their time of presentation. The control group doesn't have a similar pattern. I was wondering whether to compare the means of both groups, and then the spike value vs the mean of controls.
Not too sure whether a paired t test would be the correct statistical approach.
Any suggestions?
Yup, its an unrelated t-test, really easy to do (although you need to check your data is parametric first, if not use the Wilcoxon Mann Whitney U statistic).
Not sure how you do it in your package, but its fairly basic. you then get a number (the t statistic) that you need to look up in a table (or its likely that your package will give it to you). Before you start you need to state your alpha level (i.e., 0.05, 0.001 etc) at which you decide to reject your null hypothesis should your experimental t exceed the t under the null.
That's probably not very clear, I'm blatently not a statistion!
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