Replicating samples
When you calculate a point estimate such as a sample mean, the value you calculate depends on the rows that were included in the sample. That means that there is some randomness in the answer. In order to quantify the variation caused by this randomness, you can create many samples and calculate the sample mean (or other statistic) for each sample.
attrition_pop is available; dplyr and ggplot2 are loaded.
Cet exercice fait partie du cours
Sampling in R
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Replicate this code 500 times
attrition_pop %>%
slice_sample(n = 20) %>%
summarize(mean_attrition = mean(Attrition == "Yes")) %>%
pull(mean_attrition)
# See the result
head(mean_attritions)