For each of the following scenarios, indicate whether we would use time series or cross-sectional data. ITEMS
A. TO DETERMINE IF ENROLLMENT IN HIGHER EDUCATION IS INCREASING.
B. TO COMPARE THE CURRENT PRICE OF A GALLON OF GASOLINE ACROSS DIFFERENT GAS STATIONS IN LOS ANGELES, CA.
C. TO SEE IF THERE ARE DIFFERENCES IN THE AVERAGE NUMBER OF CALORIES CONTAINED IN SCHOOL LUNCHES SERVED IN EACH OF THE FIFTY STATES ON DECEMBER 1, 2015.
D. TO COMPARE THE INSECT POPULATION IN A GEOGRAPHIC REGION BEFORE AND AFTER AN INSECTICIDE WAS APPLIED.

A. Time-Series data

B. Cross-sectional data

C. Cross-sectional data

D. Time-Series data

Explanation:

For Your Understanding:

If the time period is single then use Cross-sectional data.

If their are multiple time periods then use time-series.

A. To determine whether or not the enrollment in higher education is increasing we will use time-series data because enrollment of students is a periodical event and occurs every year. So this means periodic study would be better with time-series data.

B. For comparing the current price of a gallon of gasoline across different gas stations in Los Angeles, CA: we are considering prices in a single time period. Thus the we will use cross-sectional data.

C. For finding see any differences in the average number of calories contained in school lunches served in each of the fifty states on December 1, 2015: we are considering a single time period. Thus we will use here cross-sectional data.

D. To find out the insect population and comparing them with insect population in a geographic region before and after insecticide was used: we will consider two time periods. As the time periods are more than one, hence we will use time-series data here.