Generate bootstrap distribution for median
When building a bootstrap distribution for a single statistic, we first generate a series of bootstrap resamples, and then record the relevant statistic (in this case, the median) of each distribution.
In this exercise, the tidyverse packages, including ggplot2 have been loaded for you, as has infer.
Questo esercizio fa parte del corso
Inference for Numerical Data in R
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Generate bootstrap distribution of medians
rent_med_ci <- manhattan %>%
# Specify the variable of interest
___(response = ___) %>%
# Generate 15000 bootstrap samples
___(reps = ___, type = "___") %>%
# Calculate the median of each bootstrap sample
___(stat = "___")
# View its structure
str(rent_med_ci)