$[$DATA$]$ Exam Scores The following data represent exam scores in a statistics class taught using traditional lecture and a class taught using a "flipped" classroom. The "flipped" classroom is one where the content is delivered via video and watched at home, while class time is used for homework and activities.

$\backslash$table$[[$Traditional$,70\mathrm{.}8,69\mathrm{.}1,79\mathrm{.}4,67\mathrm{.}6,85\mathrm{.}3,78\mathrm{.}2,56\mathrm{.}2],[$Flipped$,81\mathrm{.}3,80\mathrm{.}9,71\mathrm{.}5,63\mathrm{.}7,69\mathrm{.}8,59\mathrm{.}8,],[76\mathrm{.}4,71\mathrm{.}6,63\mathrm{.}4,72\mathrm{.}4,77\mathrm{.}9,91\mathrm{.}8,78\mathrm{.}9]]$

Source: Michael Sullivan.

a$.$ Which course has more dispersion in exam scores using the range as the measure of dispersion?

b$.$ Which course has more dispersion in exam scores using the standard deviation as the measure of dispersion?

c$.$ Suppose the score of $59\mathrm{.}8$ in the traditional course was incorrectly recorded as $598.$ How does this affect the range? the standard deviation? What property does this illustrate?