Women in their 30s number 215 and men in their 40s number 227, so 215 < 227 and the women in their 30s are actually fewer. Because the two figures are close, judging by impression easily leads to a mistake, but comparing the values in the table directly shows that this option is inappropriate.
×Incorrectイ
Comparing genders within the same age group, women are more numerous through the 20s (women 100 > men 56), the 30s (women 215 > men 114), and the 40s (women 348 > men 227), but in the 50s women 227 < men 295, so men are more numerous. The claim that this holds in every age group does not stand, so the option is inappropriate. The female subtotal of 890 exceeding the male subtotal of 692 does not mean that women are more numerous in every single age group.
○ウ
正解The correct answer is ウ. The table is a cross-tabulation table that crosses gender with age group, so first decide “along which axis you are comparing” and then read it. Here, for each gender, look for the maximum value vertically (among the age groups). For men the figures are 56 in their 20s, 114 in their 30s, 227 in their 40s, and 295 in their 50s, so the largest is the 50s (295 people). For women the figures are 100 in their 20s, 215 in their 30s, 348 in their 40s, and 227 in their 50s, so the largest is the 40s (348 people); the key point in reading the table is that only for women does the number turn downward in the 50s. Therefore ウ, which says that men have the most users in their 50s and women in their 40s, matches the table exactly. The subtotals also work out to 56+114+227+295=692 for men and 100+215+348+227=890 for women, just as in the table, confirming that the totals are consistent.
×Incorrectエ
It is correct that men are most numerous in their 50s (295 people), but for women the largest figure is the 40s (348 people), and the 50s drops to 227. Saying that both men and women peak in their 50s contradicts the table, so this option is inappropriate.
ここがポイント
When reading a cross-tabulation table (gender × age group), making the direction of comparison clear is fundamental. If you mix up comparing age groups within the same gender (a vertical comparison) with comparing genders within the same age group (a horizontal comparison), you will judge whether an option is true or false incorrectly.
When an option contains universal or superlative expressions such as “every”, “both”, or “the most”, a single counterexample makes it wrong. Build the habit of mechanically checking every cell of the table to verify such statements.
The cumulative count (the total number of uses during one month) is not the actual number of members. The subtotal is a simple sum over the age groups, and checking whether the totalled value matches the breakdown in the table makes it easier to notice mistakes in reading.