Using t.test()
Manually calculating test statistics and transforming them with a CDF to get a p-value is a lot of effort to do every time you need to compare two sample means. The comparison of two sample means is called a t-test, and R has a t.test() function to accomplish it. This function provides some flexibility in how you perform the test.
As in the previous exercise, you'll explore the difference between the proportion of county-level votes for the Democratic candidate in 2012 and 2016.
sample_dem_data is available, and has columns diff, dem_percent_12, and dem_percent_16.
This exercise is part of the course
Hypothesis Testing in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Conduct a t-test on diff
test_results <- ___
# See the results
test_results