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In "Tutorial 4 - Lesson 2: Randomization test", in the subsection "Why 0.05?" under "Sample size in randomization distribution" we have to compute two contigency tables.
The exercise text says: "1.
Tabulate the small dataset, gender_discrimination_small. That is, call count(), passing the gender and promote columns, to get a contingency table."
The text suggests that "promote" is a variable in the dataset, while the variable actually is called "decision".
The text was updated successfully, but these errors were encountered:
In "Tutorial 4 - Lesson 2: Randomization test", in the subsection "Why 0.05?" under "Sample size in randomization distribution" we have to compute two contigency tables.
The exercise text says: "1.
Tabulate the small dataset, gender_discrimination_small. That is, call count(), passing the gender and promote columns, to get a contingency table."
The text suggests that "promote" is a variable in the dataset, while the variable actually is called "decision".
The text was updated successfully, but these errors were encountered: