1 00:00:05,032 --> 00:00:07,240 EFETOBORE TASKER: I would say that the key to success 2 00:00:07,240 --> 00:00:09,100 for Junior Lab for me was simply having 3 00:00:09,100 --> 00:00:14,290 the perseverance to continue to work and to get things done. 4 00:00:14,290 --> 00:00:17,230 Because as I said, I hadn't done a class like this before 5 00:00:17,230 --> 00:00:20,089 or I haven't done anything experimental in physics before. 6 00:00:20,089 --> 00:00:21,380 So a lot of this was new to me. 7 00:00:21,380 --> 00:00:23,126 And I found it very difficult at first. 8 00:00:23,126 --> 00:00:25,500 But if you put in the time to learn how to correctly take 9 00:00:25,500 --> 00:00:27,430 data, to correctly analyze data figure out 10 00:00:27,430 --> 00:00:29,380 how to do error propagation, things 11 00:00:29,380 --> 00:00:32,560 like that, you'll eventually figure out 12 00:00:32,560 --> 00:00:34,470 a way to do it in a way that's correct. 13 00:00:34,470 --> 00:00:37,090 Because they do give you that background and that foundation 14 00:00:37,090 --> 00:00:40,000 to teach you how to present data, how to analyze data. 15 00:00:40,000 --> 00:00:41,990 But we just have to take the time to learn. 16 00:00:41,990 --> 00:00:46,521 So I think that perseverance was the key to success for me. 17 00:00:46,521 --> 00:00:48,520 SAARIK KALIA: Yeah, I think one thing I actually 18 00:00:48,520 --> 00:00:50,490 found pretty surprising about the course 19 00:00:50,490 --> 00:00:53,050 is I kind of expected the hard parts to really 20 00:00:53,050 --> 00:00:55,600 be like the measurements, as opposed to the analysis. 21 00:00:55,600 --> 00:00:59,350 But I actually found it to be the other way around. 22 00:00:59,350 --> 00:01:03,040 Like, obviously you have to be attentive during lab 23 00:01:03,040 --> 00:01:05,110 and know what you're doing. 24 00:01:05,110 --> 00:01:07,600 But oftentimes the real difficulty 25 00:01:07,600 --> 00:01:11,050 comes outside of class, like doing 26 00:01:11,050 --> 00:01:14,575 proper analysis of your data and really knowing what's going on. 27 00:01:14,575 --> 00:01:16,450 And even a lot of the times you should really 28 00:01:16,450 --> 00:01:20,371 be doing analysis during class so that you know 29 00:01:20,371 --> 00:01:22,120 if your data is good, if your data is bad, 30 00:01:22,120 --> 00:01:25,050 and adjust accordingly.