This test is looking at the means. You can see that the bp_before mean= 156.45 and the bp_after mean = 151.36, showing that the treatment did work in reducing blood pressure on average. This average change is unlikely to be caused by chance, or there is a 0.001% (p=0.011) chance that the change in the means is by chance.
@franksantiago647811 жыл бұрын
I understand that the difference is statistically significant, but does the fact that the p value is .0006 in the alternative: Ha: mean(diff) >0 mean that the difference in blood pressure was greater than zero AFTER treatment?
@lydiakyomaasiimwe23844 жыл бұрын
So did the BP increase or decrease after treatment? And what shows
@yaizalopez596610 ай бұрын
why is it used a t test for a sample size > 60 ?
@andreacangialosi96794 жыл бұрын
What command should I use if I have to evaluate a t-test between more than 2 groups?
@Wilowsiu2 жыл бұрын
anova
@marsien10 Жыл бұрын
What is the conclusion please?
@vladpaul015 жыл бұрын
This is bullshit. The only thing you did was to read the variables and the outcomes. Go more in depth