Based on data from the U. S. Census Bureau, a Pew Research study showed that the percentage of employed individuals ages who are college educated is at an all-time high. The study showed that the percentage of employed individuals aged with at least a bachelor's degree in was . In the year , this percentage was , in it was , and in it was only (Pew Research website). a. What is the population being studied in each of the four years in which Pew has data

Complete Question:

Based on data from the U.S. Census Bureau, a Pew Research study showed that the percentage of employed individuals ages 25-29 who are college educated is at an all-time high. The study showed that the percentage of employed individuals aged 25-29 with at least a bachelor's degree in 2016 was 40%. In the year 2000, this percentage was 32%, in 1985 it was 25%, and in 1964 it was only 16%.+

(a) What is the population being studied in each of the four years?

O college educated individuals

O college educated individuals aged 25-29

O individuals aged 25-29

O employed individuals aged 25-29

O employed individuals

(b) What question was posed to each respondent?

O Have your earned a bachelor's degree (or higher)?

O Are you enrolled in college?

O Are you between the ages of 25 and 29?

O In what year did you receive your bachelor's degree?

O Are you employed?

(c) Do responses to the question provide categorical or quantitative data?

O categorical

O quantitative

U.S. Census Bureau

a. The population being studied in each of the four years is:

O college educated individuals aged 25-29

b. The question that was posed to each respondent is:

O Have your earned a bachelor's degree (or higher)?

c. O categorical

Step-by-step explanation:

a) Data and Calculations:

Percentage of employed individuals ages 25-29 with at least a bachelor's degree

in 2016 = 40%.

In the year 2000 = 32%,

in 1985 = 25%,

in 1964 = 16%.+

The percentage has continued to increase steadily.

b) Categorical data does not indicate numbers.  They are qualitative in nature.  Instead, the data are grouped into categories.  Examples of categorical data are data about race, sex, age group, and educational level.