# Search results

1. ### Mean and Standard Deviation

I agree with Karabiner. You could possibly finesse the answer but it doesn't really make sense. Since you don't know how negative the negative income can go, or how high the >400 can go, you can't use them in your calculations in a sensible way. The "did not respond" people also provide no data...

Regarding coding the data, I suppose you could make an argument for coding the training as 1, 3, 6, 12 representing months between sessions but then I'm not sure what you would do with the more than one year because that could mean anything >12.

I would think that a Pearson's would be fine. You are predicting that time between training predicts confidence so training is the independent (predictor) variable and confidence is the dependent (criterion) variable.
4. ### locked down during lockdown :/

Post hoc if exploratory or regular t-tests if you predicted certain differences.
5. ### locked down during lockdown :/

I would also include t-tests to contrast the 3 conditions to see where the effect is coming from.
6. ### locked down during lockdown :/

I think you want to do a within-subjects one-way ANOVA. Each participant is in all 3 conditions. First calculate the mean RT by condition so that you have 3 values for each participant representing the mean RT for each condition. Then do the ANOVA on that data. Does that sound right to you?