Dear All,
Here i have an data of BMI for household men and women like variables are Gender, Age, Village, Year and BMI, BMI_catergories in this i have to test the significance of BMI with gender and BMI in Years and BMI with the BMI catergories like Normal, overweight and underweight so for theis i am using 2 sample t test is it correct?
I request you all to suggest for an Idea.
Here is the codes for your reference
proc ttest data=Nutr_old.antpfin_05;
where village ="village";
class sex;
var BMI;run;st
Results are like this
The TTEST Procedure
Variable: BMI (BMI)
1 | 86 | 19.2561 | 4.8538 | 0.5234 | 2.3671 | 33.0138 |
---|---|---|---|---|---|---|
2 | 88 | 19.1482 | 4.6338 | 0.4940 | 10.9051 | 32.0001 |
Diff (1-2) | 0.1079 | 4.7438 | 0.7193 |
1 | 19.2561 | 18.2154 | 20.2967 | 4.8538 | 4.2210 | 5.7114 | |
---|---|---|---|---|---|---|---|
2 | 19.1482 | 18.1663 | 20.1300 | 4.6338 | 4.0358 | 5.4415 | |
Diff (1-2) | Pooled | 0.1079 | -1.3119 | 1.5277 | 4.7438 | 4.2911 | 5.3041 |
Diff (1-2) | Satterthwaite | 0.1079 | -1.3127 | 1.5285 |
Pooled | Equal | 172 | 0.15 | 0.8809 |
---|---|---|---|---|
Satterthwaite | Unequal | 171.17 | 0.15 | 0.8810 |
Folded F | 85 | 87 | 1.10 | 0.6675 |
---|
If it was two level, you can use proc ttest for parameter test and proc npar1way(Wilconx test) for non-parameter test.
It it was three or more levels ,that means you need multi-comparison , check proc glm + means .
Xia Keshan
for comparing the BMI Categories by sex, you would need PROC FREQ, as that is a 2x3 table.
If you scored the BMI categories to get a rank, you could use NPAR1WAY, but it is much less sensitive to differences than the original scale.
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