I collect data about a videogame (think about an ego shooter with kills / deaths etc)
Obviously the higher "kills" is and the lower "deaths" is, the better the players result is.
If I track a lot of different games - these values should be normally distributed - right?
So then I want to implement a major change - like using a different weapon or strategy or something like that - , and after some games evaluate, wheter the results are significantly higher, or not.
Can this be done with the student's t-test? Or would you recommend a different test? How can this be done in R? And how many games would be necessary to get a good result?
Thanks in advance