I have formed a contingency table for my binary outcome experiment that has been discussed in my previous question : binary outcome testing
One of my hypothesis says that females are better at identifying cars and I am trying to use chi-square testing.
So I get a table like this where I have summed up all predictions:
| Bike Predicted (actual 100) | Car Predicted(actual 100)| Male | 50 | 50 | Female | 40 | 60 |
I have 2 questions regarding the above formulation.
Is there any way I can account for what the actual image was? I basically want the hypothesis to say that females are better at identify correct car images.
Using Chi-Square testing I can prove that the tyre prediction is independent/dependent of gender. However, if it is dependent, then can the actual number prove that females are better than males ? If not, can someone help me out on this !