Significance test using t-test and p-value

Dear All

I have the following results of three different algorithms over 12-benchmark funtions, I want to make a significance test using t-test and p-value, any body may help me.

         Algo-1          Algo-2          Algo-3 
F1	1.62E-04	    7.52E-10	1.59E-63
F2	1.90E+01            5.52E+00	5.71E+00
F3	9.30E-01	    2.03E-01	2.87E-01
F4	2.48E-01	    2.20E-01	1.74E-01
F5	5.95E+01            1.57E+00	2.09E+00
F6	6.21E-02	    5.15E-02	5.44E-02
F7	3.78E-11	    1.31E-11	1.33E-02
F8	8.47E-11	    1.52E-12	7.16E-55
F9	8.31E-14	    2.59E-14	0.00E+00
F10	-6.87E+00          -4.10E+00	-3.89E+00
F11	-9.55E+02          -9.49E+02	-9.58E+02
F12	2.28E-13            4.94E-14	1.78E-31 

[dpb]

First need what is the null hypothesis and what are the data...

[Adam Danz]

+1 dpb

Tiny bit of advice: avoid phrases such as "significance test". For motivation, see last month's commentary in Nature signed by 800+ academic-affiliated statisticians and scientists.

https://www.nature.com/articles/d41586-019-00857-9

[dpb]

Thanks for the link; hadn't seen that...I recall some of the earlier articles but having been back to the family farm and out of active consulting 20 yr now, dropped the ASA membership and haven't read so much recently...that's a noble objective but probably a Don Quixote battle for the most part I'd expect.

[Adam Danz]

Yeah, should be interesting to see how it unfolds.