WEBVTT 00:00:00.000 --> 00:00:08.707 position:50% align:middle So let's take a look at an hypothetical scenario of somebody taking 60 items and ended up failing the exam. 00:00:10.970 --> 00:00:20.388 position:50% align:middle So the test starts, and based on this person's answer, we continue to estimate his ability. 00:00:21.610 --> 00:00:25.832 position:50% align:middle So the test keeps going and going. 00:00:26.320 --> 00:00:30.288 position:50% align:middle And you can see that...I mean, even though this is a hypothetical example, 00:00:30.288 --> 00:00:34.548 position:50% align:middle but we try to use the data that mirror reality. 00:00:34.548 --> 00:00:40.931 position:50% align:middle And you can see that the 95% confidence interval gets narrower and narrower. 00:00:40.931 --> 00:00:44.459 position:50% align:middle Our estimation is pretty precise. 00:00:44.459 --> 00:00:52.316 position:50% align:middle So by the 60th item, we start evaluation to see if this person is a passer or a failer. 00:00:52.316 --> 00:00:56.518 position:50% align:middle Person is clearly a failer, so the person didn't pass the exam. 00:00:56.518 --> 00:01:00.792 position:50% align:middle And as you can see here, even though this person really didn't do so good... 00:01:00.792 --> 00:01:06.694 position:50% align:middle I mean, by the 15th item, you can see that, you know, he never quite got up to the passing standard 00:01:06.694 --> 00:01:13.538 position:50% align:middle after that, but because by the 15th item, we haven't covered the test plan content enough, 00:01:13.538 --> 00:01:18.408 position:50% align:middle we'll keep asking questions until the 60th, and then we'll make a decision whether this person 00:01:18.408 --> 00:01:19.714 position:50% align:middle passed or failed.