nbme7--bl-2-q-24 - snrskjptsa

[ArchivalUser]

if anybody has time plz help me..
what the answer
dunno my brain became blank out
i knew this answer before...

[ArchivalUser]

q 24...Sarim and others can explain these more ...and here is my understanding

In the question we are asked about heterogeneity(variability)

-The distances between the scores and the mean (Xi-M) are called deviations
-The greater the variety or heterogeneity of the scores, the greater the deviations
-If the scores were clustered around the mean, the deviations would be small, but they would increase as the scores became more spread out or more varied.

-And one way to measure variability (heterogenous population in this case ) is by calculating the value of the Standard Deviation ..
-Generally SD - is an index of variability: the SD increases in value as the distribution becomes more variable. The less the variability in the distribution, the lower the value of the SD.
In short when we get high SD that means high variabilty (high heterogenous population in this case)....low SD means low variabilty (less hetrogenous population )...

So to check variabilty(hterogeneity) ...compare the standard deviation values not the mean values of the experiment...

My answer is D

[ArchivalUser]

thank u dear yeabiruh....

[ArchivalUser]

very good explanation...
thanx again to nbme master...