Funnily enough, with these SD for each group, for an 80% power (80/100 times you test you will detect the statistically significant difference in mean group radius and reject the null hypothesis they are the same), you need at minimum 19 shot groups.
This is rather revealing when one group is 77% bigger and has a 66% larger mean radius than the other, it still takes at least 19 shots to be sure they're different, because of the quite large variance (SD) of the samples.
Just playing here:
Assuming consistent SD of group 1 = 0.38cm and SD of group 2 = 0.58. Required sample size to detect a few differences in mean radius are below.
0.1cm difference in mean radius = 379 shot groups
0.2cm = 96
0.3cm = 44
0.4cm = 25
0.5cm = 17
0.6cm = 12
0.7cm = 9
0.8cm = 8
0.9cm = 6
1.0cm = 6
1.1cm = 5
.
.
.
1.6cm = 3
Post script; nothing wrong with your stats assuming you're picking the t-test for unequal variances. It's the appropriate test.
Bookmarks