I have the following data:

```
   A   |   B
---------------
9,794  |  10,7098
9,8022 |  10,5176
9,7055 |  11,1039
9,7091 |  11,1474
10,1882|  10,4693
10,2204|  10,8072
9,8221 |  11,2713
9,9272 |  11,2888
10,0855|  10,9026
10,108 |  10,872
10,1433|  10,9649
10,1432|  10,9805
9,7451 |  10,5126
9,8088 |  10,4722
10,0242|  10,6095
10,0402|  10,7719
9,5203 |  11,0741
9,5211 |  11,0357
9,4078 |  11,1146
9,4367 |  11,1176
10,3585|  11,0609
10,3234|  11,0389
10,0555|  10,6333
9,9836 |  10,4394
9,8306 |  10,2537
9,8836 |  10,3016
9,9489 |  10,1945
9,9176 |  10,339
10,0038|  10,639
9,9711 |  10,6681
-----------------
9,91431|  10,77706 - Average
0,2404 |  0,31310438 - Standard deviation

```

It represents the seconds a computer program did when using configuration A and B. I run the program 30 times with configuration A, and another 30 times with configuration B.

I want to construct a hypothesis test that proves configuration B runs slower than A (or configuration B runs with a different time than A).

What test should I use and what values go where?

I did some tests using the formulas and got this value por z (or t, dont remember): **-11,769**. Isn't this number really low? The critical point for 5% is 1.96 (two-tailed) and -11.769 is really deep into the critical zone (rejecting H0) with high probability. I think i'm doing something wrong so please help me. Thanks!