Of a conditional distribution would be the distribution And this is theĭistribution of one variable given something trueĪbout the other variable. More realizations from it is to think about something known as a conditional distribution. You might sometimes see when people are trying to interpret a jointĭistribution like this or get more information or A total of 30 studiedīetween 21 and 40 minutes. Of 14 students studied between zero and 20 minutes. Then you would look at theseĬounts right over here. The marginal distribution for the time studied in the class. Now, you could also think about marginalĭistributions the other way. So you can say 10% gotīetween a 20 and a 39. In terms of percentages gives you the marginalĭistribution of the percent correct based on these buckets. So if you represent it as percentages, you would divide each of Now, a marginal distributionĬould be represented as counts or as percentages. 60 out of the 200 got betweenĦ0 and 79, so on and so forth. 40 out of the 200 gotīetween 80 and a hundred. So these counts right over here give you the marginal distribution So, for example, if you wanted to figure out the marginal distribution of the percent correct, what you could do is lookĪt the total of these rows. It is you can determine it by looking at the margin. Is just focusing on one of these dimensions. To focus on this video is two more types of distributions other than the joint distribution So there's all sorts of interesting things that we could try to glean from this, but what we're going

So one way to read this is that 20 out of the 200 total students got between a 60 and 79% on the test and studied between 21 and 40 minutes. And you can also view thisĪs a joint distribution along these two dimensions. What we could do is weĬould set up some buckets of time studied and someīuckets of percent correct and then we could survey the students and/or look at the dataįrom the scores on the test. In a classroom of 200 students between the amount of time

Say that we are trying to understand a relationship

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