**11. Correct. The answer is
false**

Although sample variance is the most common used measure of dispersion,
and large values of sample variance or sample standard deviation indicate more
dispersion of the values of the sample about the arithmetic mean of the sample (GHJ
page 23). However, this is not useful to do comparison between different
populations, because their units of measures affect the variability.

Instead we have to use the *coefficient
of variation *= CV_{x} = (sample variance / sample
mean) * 100.

CV_{a} = (3,500 / 12,100) *100 = 28.92%

CV_{b} = (3.2/ 7.5625) *100 = 42.31%

which indicates that the sample b (years of post-secondary education) is more
dispersed about the mean than sample a (monthly earnings).