Hello I have a large Dataset (N=400) about disability and sport pratice. 142 of them dont do sport 72 of them stated sport less than a year ago and 186 of them started sport more than a year ago.So the sample size are unbalanced to say the least. Does bootstraping resampling correct that ? if no is there any workaround except randomly selecting 72 observation from the two larger group? I do not wish to do that because my dataset will lose a lot of power

thank you all