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manpreet108Send an Instant Message to manpreet108  




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Quick Scroll Library: Statistical test Q & Which one to use 10.03.05 (2 years ago) #1

an investigator wants to measure BP of medical students before and after a viva exam.best statistical test is --
1.paired T test
2.unpaired t test
3.analysis of variance.
4.chi square test.


an investiagator wants to measure mood of medical students [depressed or elated ] after a viva exam.best statistical test wd be-

same options as above.



pls help .this is a hypothetical qn--just want to be sure i ve learne d the concept clearly..


ps -can someone pls cite some situation or example where we apply ANOVA test[analysis of variance]. icon_rolleyes.gif
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Quick Scroll 10.03.05 (2 years ago) #2

hi! manpreet somewhere bruno has explained these things beautifully .. u ll have to search a bit but its worth.. but wait ill only do.. give me 5 more min.....



ans to first is paired t???
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Quick Scroll 10.03.05 (2 years ago) #3

yar as i said its a hypothetical qn
i think ans shd be -
1.paired t test---cos we have quantitative data.

and for 2 .chi square as its a qualitative data.

jusr cross check.
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Quick Scroll 10.03.05 (2 years ago) #4

ANOVA is used when >1 data is given to check like weight and BP..
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Quick Scroll 10.03.05 (2 years ago) #5

ANOVA is used when >1 data is given to check like weight and BP..
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Quick Scroll 10.04.05 (2 years ago) #6

bruno:::::::::
Biostatistics !!!! Posted on Thu Oct 23, 2003 5:50 pm
--------------------------------------------------------------------------------
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Quick Scroll 10.04.05 (2 years ago) #7

hey bruno i cud have quoted ur text but then the texts become smal.......... i hope u wont mind....
thanx..
aditi.....
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Quick Scroll 10.04.05 (2 years ago) #8

isnt F test is Fischer test/???
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Quick Scroll 10.04.05 (2 years ago) #9

yup f test is fischer test!
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Quick Scroll 10.04.05 (2 years ago) #10

thanks bruno for making this presentable in such a simplified form.

and thanks aditi --all those who read this search by you are definetly going to gain a lot.
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