I couldn't get any suggestions from stack exchange. So I'm posting the same question here with a hope.
Proportion test - Helps to identify if there is significant difference in proportion across the samples.(i.e. the values are in proportion and denominator is in sample size of entire proportion) Example :
- Group A Proportion of Male - 40/100
- Group B Proportion of Male - 50/120
So Ideal scenario, I'd perform Z- Proportion test to validate my results.
I'm clear with the ideas.
Problem Statement :
Estimate if the Revenue generated across the Group Aa & Group Bb is significant.
Target Column: Revenue(Price*qty) Generation at Customer level.
H0 : Null Hypothesis = Proportion(p1)% = proportion(p2%) --> No significant difference
H1 : Null Hypothesis = Proportion(p1)% != proportion(p2%) --> Significant difference
Group A(All Products) - 200 Unique customers "Total Revenue - 4000$ "
Revenue Generation of specific subgroup
Group Aa(Specific Product)- 23 Unique Customers "Revenue - 620$ "
question from:https://stackoverflow.com/questions/65843366/propotion-test-or-t-test
Cust Id Revenue 11 4.2 12 4.2 13 4.2 14 4.2 15 8.4