Hi all!
I have some statistics which include diagnostic data. Here is an example of my stats. Women with cancer = 57 (57%) Women without cancer = 43 (43%) The sum = 100 (100%)
Can I calculate the p-value for those results? Is there any statistic test that I can use? Or could I just say that the difference between groups is not statistically significant (p-value =0,57, or p-value = 0,43)? I am very sorry for trivial question. Until today I thought that there is no possibility to do statistics test with calculated p-value for such data. Maybe I am wrong. What do you know about that?
Best,
Agata
Any p-value would be based off of some model of what one would expect to find. So you'd need to give more information about that.
I don't have any other information. I found that the calculation of Z-score, and then probability can be used to confirm the statistical difference between this two values. Do you agree with that?
Making a Z score out of that would be meaningless. If you don't have any expectations about what "difference" or "no difference" would look like there you can't determine a p-value.
In this ssetting you'd need to know how many women were in your sample before you can ascribe significance. If you've only screened 7 women, your p-values will be very different than if you've screened 70
No, I screen 100 women, and I have information that 57 of them have cancer and the rest don't have. This is of course the example of data.
Sorry, but since you presented the percentages, that was hardly obvious