Visualizing the difference
Before you start running hypothesis tests, it's a great idea to perform some exploratory data analysis. That is, calculating summary statistics and visualizing distributions.
Here, you'll look at the proportion of county-level votes for the Democratic candidate in 2012 and 2016, dem_votes_potus_12_16. Since the counties are the same in both years, these samples are paired. The columns containing the samples are dem_percent_12 and dem_percent_16.
dem_votes_potus_12_16 is available; dplyr and ggplot2 are loaded.
Deze oefening maakt deel uit van de cursus
Hypothesis Testing in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# View the dem_votes_potus_12_16 dataset
View(dem_votes_potus_12_16)
# Calculate the differences from 2012 to 2016
sample_dem_data <- ___
# See the result
sample_dem_data