This hypothetical dataset has two columns, a realized treatment (Z) and a
revealed outcome (Y). The purpose of the dataset is to illustrate how
traditional t-tests and randomization inference can yield different answers.
Format
A data frame with 20 rows and 2 columns:
- Z
Realized treatment assignment
- Y
Revealed outcome, a donation amount. The distribution is skewed: most donations are small and one is 500, which is what pulls the t-test and randomization inference apart
Source
ISPS Data Archive study D081 doi:10.60600/YU/VUH8KD
, file 42300
(GerberGreenBook_Chapter3_Donations). Built by data-raw/book_tables.R.