Designing a Trial: Crash Course Kids #44.1 - By Crash Course Kids
Transcript
00:09 | if you've ever taken a math test , then you | |
00:11 | know that sometimes close just doesn't count and guess what | |
00:14 | close isn't what engineers shoot for when they're designing a | |
00:17 | solution to a problem , Which is just fine by | |
00:19 | me because I like my bridges to get the whole | |
00:21 | way across the river . When engineers design a solution | |
00:24 | to a problem , they focus on a specific outcome | |
00:27 | . And if you've been following us on our engineering | |
00:29 | adventures through gorges , piles of marshmallows , bowling alleys | |
00:32 | and bridges , you know that in order to make | |
00:34 | sure a solution meets that outcome , engineers do a | |
00:37 | bunch of trials . But how do we put together | |
00:40 | everything we've learned about engineering so far to come up | |
00:43 | with a test that helps us get the result . | |
00:45 | We want . What things do we need to think | |
00:47 | about when we design trials ? Let's recap all of | |
00:55 | the things we've gone over in the last few episodes | |
00:57 | , even though our fabulous feats of engineering solve lots | |
01:00 | of different kinds of problems , they all had some | |
01:02 | things in common for each problem . We decided on | |
01:05 | the criteria for a successful solution . These were the | |
01:08 | rules . We used to judge whether our solution worked | |
01:11 | or not . In the bowling alley . Our criteria | |
01:13 | , we're getting all of the pins down and getting | |
01:15 | them all down in one turn . We also identified | |
01:17 | variables , those conditions that could be changed over the | |
01:21 | course of the experiments , we learned that some variables | |
01:23 | we can control and some we couldn't in the gorge | |
01:27 | for example , we couldn't control gravity but we could | |
01:30 | control the amount of weight . We were supposed to | |
01:32 | get to the other side of the gorge . After | |
01:34 | we pinpointed these variables , we isolated one variable that | |
01:37 | we could control and we isolated that one because we | |
01:41 | wanted to make sure that we knew why a solution | |
01:43 | worked or didn't . So when we launched Cat got | |
01:45 | into a pile of marshmallows , we only change the | |
01:48 | angle of the slingshot between the trials and kept everything | |
01:51 | else the same . Finally , the last thing we | |
01:53 | did was learn how to identify failure points , Those | |
01:56 | places where solution didn't work anymore . Then we tried | |
01:59 | to fix those failure points , like we added some | |
02:01 | extra support to our bridge . So both little Sabrina | |
02:03 | and her bulldozer could get safely across . And it | |
02:06 | was important that we do all of these things if | |
02:09 | we didn't , we'd have a hard time making a | |
02:11 | solution better if and when it didn't work . So | |
02:14 | now let's put a whole bunch of steps together to | |
02:15 | plan a set of trials using everyone's favorite carnival game | |
02:19 | , The ring task first , we'll come up with | |
02:25 | criteria for a successful outcome . If you've ever done | |
02:27 | a ring toss , you know that you get a | |
02:29 | couple of tries to get a ring around the pin | |
02:31 | and I say go big or go home . So | |
02:33 | let's aim to do it in one . So those | |
02:35 | are our criteria , we get a ring around the | |
02:37 | pin and we do it in one throw . Next | |
02:39 | up , we identified the variables and isolate one to | |
02:42 | change between trials . Well , let's see the ones | |
02:45 | , we can change our , the size of the | |
02:46 | ring , the distance . We stand away from the | |
02:48 | pin , the size of the pin and how we | |
02:50 | throw the ring . We can't do anything about gravity | |
02:53 | , not that we want to , and there's no | |
02:55 | wind . So let's say we choose to isolate the | |
02:57 | size of the ring . We stand the same distance | |
02:59 | away from the pin and use the same pin each | |
03:01 | time and do our best to throw the ring the | |
03:04 | same way each time . Now , step right up | |
03:06 | , it's time to do some trials for trial one | |
03:08 | , we'll start with a small ring , we'll throw | |
03:10 | it and we'll miss for trial to we'll use a | |
03:14 | medium sized ring close but still a no go for | |
03:18 | the next trial will use an even larger ring bingo | |
03:21 | . Pretty easy . Much easier than at the fair | |
03:24 | . I'd have a lot of large stuffed animals if | |
03:26 | it were that easy . Now , we need to | |
03:27 | see if we can find any failure points . Mm | |
03:31 | Let's try moving away from the pin , way far | |
03:34 | away . We'll toss and we'll miss . So there | |
03:38 | we have a failure point . The solution of using | |
03:40 | a bigger ring works , but once we change another | |
03:43 | variable and get too far away from the pin , | |
03:45 | a bigger ring isn't going to meet our criteria of | |
03:48 | a successful solution . Mhm . So when we design | |
03:54 | a solution to meet a specific outcome , we have | |
03:57 | to make sure that we're paying attention to all of | |
04:00 | the little details . After we decide what the criteria | |
04:02 | are for a successful solution , we need to make | |
04:04 | sure that we identify variables and isolate one to change | |
04:08 | between trials and even want to trial gives us the | |
04:10 | outcome we want . We still need to try and | |
04:13 | find failure points so we can see if our solution | |
04:15 | has any limits . But what if we want to | |
04:18 | create more than one test ? Like you toss that | |
04:21 | around in your mind until next time . |
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