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statistics - Propotion test or t-test

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$ "

Cust Id Revenue
11 4.2
12 4.2
13 4.2
14 4.2
15 8.4
question from:https://stackoverflow.com/questions/65843366/propotion-test-or-t-test

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