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< \$25,000 \$25,001- \$50,000 \$50,001- \$100,000 \$100,000+
Ages 25 and under 22 40 7 6
Ages 25-34 19 32 11 8
Ages 35-44 17 18 20 16
Ages 45-54 3 18 40 14
Ages 54 and up 1 16 25 15



A sociologist polled random individuals and asked them their age and annual income. The results are shown in the chart above.

Which of the following statements is true concerning data from this chart?

A

There seems to be an association between frequency and age, as more individuals polled are under $25$ years old than any other group.

B

There seems to be a relatively even distribution of income among $35$- to $44$-year-olds.

C

There seems to be a relatively even distribution of ages for those who make $\$25,001$ to $\$50,000$.

D

This chart may serve as evidence that a jump in age causes higher income.

E

Among all ages combined, it appears that income is evenly distributed.

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