Module 5: Apply 4

Import data

## # A tibble: 492 × 10
##    CITY      STATE COUNTY AREA  `SCHOOL LEVEL` `LEVEL-AGE POPULATION` ENROLLMENT
##    <chr>     <chr> <chr>  <chr> <chr>                           <dbl>      <dbl>
##  1 ALTON     NH    BELKN… R     High                              571        526
##  2 ALTON     NH    BELKN… R     Primary                           582        538
##  3 BELMONT   NH    BELKN… R     High                              484        451
##  4 BELMONT   NH    BELKN… R     Middle                            440        406
##  5 BELMONT   NH    BELKN… R     Primary                           456        428
##  6 CTR. BAR… NH    BELKN… R     Primary                           562        512
##  7 GILFORD   NH    BELKN… R     Middle                            369        337
##  8 GILFORD   NH    BELKN… R     Primary                           405        376
##  9 GILFORD   NH    BELKN… R     High                              588        540
## 10 GILMANTO… NH    BELKN… R     Primary                           439        407
## # ℹ 482 more rows
## # ℹ 3 more variables: `START GRADE` <chr>, `END GRADE` <chr>,
## #   `NOT ENROLLED` <dbl>

State one question

Do rural areas have more school-aged youth than urban areas?

Plot data

Interpret

Evidence shows that there are a higher number of school-aged youth in urban areas than rural areas?