0:00:00.490,0:00:03.170 When we visualize data, it's usually a lot 0:00:03.170,0:00:06.550 easier to draw conclusions. And we can see a 0:00:06.550,0:00:10.260 clear upward trend in the relationship between hours slept 0:00:10.260,0:00:13.740 and temporal memory. Based on this data, we can 0:00:13.740,0:00:16.040 say that in general, the more you sleep 0:00:16.040,0:00:19.450 the better your temporal memory score. This isn't to 0:00:19.450,0:00:23.100 say though that sleep causes a higher temporal memory 0:00:23.100,0:00:25.540 score. This is just the trend that we can 0:00:25.540,0:00:28.320 see from this data. We don't really 0:00:28.320,0:00:31.310 know if a higher temporal memory score translates 0:00:31.310,0:00:33.880 to a better test result. So we can't 0:00:33.880,0:00:37.560 say this second option. This third option is 0:00:37.560,0:00:39.850 the opposite of the relationship we see here. 0:00:40.940,0:00:44.120 And we definitely do see an upward trend 0:00:44.120,0:00:47.540 in this relationship. We'll get more into visualizing 0:00:47.540,0:00:51.440 data later. But for now, the point is, 0:00:51.440,0:00:58.274 data comes in all forms. As raw data, or visualized, 0:00:58.274,0:01:03.570 or in certain numbers that summarize the data. We should make good 0:01:03.570,0:01:07.900 decisions on what methods we should use to draw sound conclusions from our data.