SE with less data
The less data that you have to make an estimate, the more uncertainty you will have in that estimate. This is reflected in the standard error. In this exercise you'll develop a feel for this relationship by looking at datasets of different sizes.
Two new smaller datasets have been created for you from gss2016: gss2016_small, which contains 50 observations, and gss2016_smaller which contains just 10 observations.
This exercise is part of the course
Inference for Categorical Data in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create bootstrap distribution for proportion
boot_dist_small <- ___ %>%
# Specify the variable and success
___ %>%
# Generate 500 bootstrap reps
___ %>%
# Calculate the statistic
___
# See the result
glimpse(boot_dist_small)