@study99

[Overall Pop] = citizens

[Sub-Sample] = citizens who disaprove

[PopA] = people who disapprove bc increasing tax

[Individual] = approves increasing tax

Premise: [Sub-Sample] includes mostly (>50%) [PopA]. [Individual] is not in [PopA].

Conclusion: [Individual] is probably not included in [Sub-Sample].

In [Overall Population], most (>50%) of [PopA] is included in [Sub-Sample] but most (>50%) of [PopB] is not included in [Sub-Sample]. Therefore, within [Sub-Sample], [PopA] > [PopB].

[Overall Population] = students at Morris University in respective major

[PopA] = Sociology majors

[PopB] = Psychology majors

[Sub-Sample] = enrolled in the class

Applied to D:

[Overall Population] = Vegetables available for sale at respective locations

[PopA] = Valley Food Co-op

[PopB] = Jumbo Supermarket

[Sub-Sample] = Organic vegetables

Most of [PopA] are in [Sub-Sample] but most of [PopB] are not in [Sub-Sample]. Therefore, within [Sub-Sample], [PopA] > [PopB].

Applied to E:

[Overall population] = Properties offered for sale from Acme

[Sub-sample] = website has photos

[PopA] = Houses

[PopB] = Condos

Within [Sub-sample], most of [PopA] is included but not most of [PopB] is included. Therefore, within [Overall Population], [PopA]>[PopB].

My Retrospective: Comparing Options E & D, the [Overall Population] appears properly placed for D but flipped with the [Sub-Sample] for E.

@dh2303 It's corrected in the version I'm reading (Aug-26).