The means are easy:
T1 = [37.79 39.51 38.54 39.14 39.02 39.4 39.01 37.18];
T2 = [22.4 22.07 22.15 21.72 21.75 22.55 22.18 21.92];
T1mean = mean(T1);
T2mean = mean(T2);
The confidence intervals aren’t. What are your data? Consider that ‘timings’ (and I have no idea what you mean by that) could be modeled as a Poisson process, so you would have to use the poissfit and poissinv functions.
If your data are something else, you could conceivably model them as exponentially distributed or even normally distributed. Without knowing more, I have no idea.
The point is that the confidence interval calculation is not trivial, and requires that you understand the statistical properties of the process that generated your data in order to calculate them correctly.