I have recently got into other games such as kerbal space program in addition to my playing tf2 regularly.I would like to ask if this will be making my gameplay worse in anyway due to Sensitivity or any other issues?
Not really since it seems you already have over a hundred hours in KSP, so I don't think it'll be that bad. In the end, it just goes to how much you practice/play TF2 in comparison I'd say. If you do feel like it's throwing you off, then maybe warm up your aim. If anything you could convert your sensitivity from TF2 to other games.
"Will my sensitivity in kerbal space program affect my ability to aim in a first person shooter"
You may run into problems if its another fps you have a different sens in, but even then its a matter of making sure you warm up and it'll come back to you really quick.
the only conceivable difference I can think of is if they are running at different resolutions. then your menuing might feel weird.
Bdonski used to play Kerbal on stream if that helps answer your question at all. He's obviously still a god
GetawhaleBdonski used to play Kerbal on stream if that helps answer your question at all. He's obviously still a god
But then again getawhale plays other games on stream
gottem boys
But then again getawhale plays other games on stream
gottem boys
The only way to figure this out is to do a statistical t-test between two means.
First, you consider the case in which you don't play KSP and only play TF2. For a period of time you must record the number of frags you get every day and take the mean number of frags. This forms your null hypothesis. Also remember to calculate your standard variation here as that will be a useful number later.
The second case is in which you play both KSP and TF2 in tandem. For the same period of time you must record the number of TF2 frags you get and take that mean number. This forms your alternative hypothesis. Don't forget to get the standard deviation for this too.
Now it's time for the fun part! Using this formula, calculate your t-statistic:
http://www.stat.yale.edu/Courses/1997-98/101/tstat2.gif
Once you have your t-statistic, find the p-value using a T-distribution calculator or p-value table. Let's set the significance value for 0.05. So if your p-value is lower than 0.05, then the null hypothesis is rejected which means that you DO play TF2 worse when you're playing KSP at the same time!
Let us know the results of your test, I'd be really interested to see what your findings are.
First, you consider the case in which you don't play KSP and only play TF2. For a period of time you must record the number of frags you get every day and take the mean number of frags. This forms your null hypothesis. Also remember to calculate your standard variation here as that will be a useful number later.
The second case is in which you play both KSP and TF2 in tandem. For the same period of time you must record the number of TF2 frags you get and take that mean number. This forms your alternative hypothesis. Don't forget to get the standard deviation for this too.
Now it's time for the fun part! Using this formula, calculate your t-statistic:
[img]http://www.stat.yale.edu/Courses/1997-98/101/tstat2.gif[/img]
Once you have your t-statistic, find the p-value using a T-distribution calculator or p-value table. Let's set the significance value for 0.05. So if your p-value is lower than 0.05, then the null hypothesis is rejected which means that you DO play TF2 worse when you're playing KSP at the same time!
Let us know the results of your test, I'd be really interested to see what your findings are.