FAQ: Associations: Two Categorical Variables - Contingency Tables: Frequencies

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This community-built FAQ covers the “Contingency Tables: Frequencies” exercise from the lesson “Associations: Two Categorical Variables”.

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This exercise can be found in the following Codecademy content:

Master Statistics with Python

FAQs on the exercise Contingency Tables: Frequencies

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2

For this exercise, all the variables in the NPI table are binary. However, how can I create a contingency table if I had a non binary variable?, should I combine all the categories with each other?

3

I think I’m struggling a bit with this lesson. So in a contingency table to tell if values are associated they just have to be different across? For example with this table

leader       no   yes
influence            
no         3015  1293
yes        2360  4429

3015 is much higher than 1293 and 2360 is lower than 4429 or does direction not matter so long as all the numbers differ from each other?

If I had a table like this:

leader       no   yes
influence            
no         3015  3015
yes        2360  2360

Would these values then be independent?