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Mathematics 16 Online
OpenStudy (kikuo):

https://s9.postimg.org/tj2ugch9b/Untitled1.png I'm not quite sure how to figure this one out. I know the mean is the arithmetic average of a data set in the median tells us half of the values that fall below and half of the values that fall above; also how to find the mean and median, but I don't know which choice to pick based off of these choices alone.

OpenStudy (518nad):

take 2 examples scores = {5,6,97,98,99,99,100,100}, what is the mean and median? scores = {1,1,3,4,5,5,100,100}, what is the mean and median?

OpenStudy (kikuo):

What would be the general rule though for a mean being smaller than a median? @518nad

OpenStudy (518nad):

have u found the median and mean of those 2 data sets

OpenStudy (kikuo):

Am finding right now

OpenStudy (kikuo):

75.5 98.5

OpenStudy (kikuo):

27.375 4.5

OpenStudy (kikuo):

Why is it like this?

OpenStudy (kikuo):

@518nad

OpenStudy (seratul):

You still here?

OpenStudy (kikuo):

Yes

OpenStudy (kikuo):

@Seratul

OpenStudy (seratul):

Still here?

OpenStudy (kikuo):

I'm here. Ha.

OpenStudy (kikuo):

@mathmate Seems like I'm tagging you again dear.

Vocaloid (vocaloid):

hint: when there is a data set that has a few outliers, the mean will be "pulled" towards the outliers example: if we measure the height of 100 random people, and then a few very tall basketball players walk in, the mean will be shifted up. therefore, the mean will probably be higher than the median the opposite wold happen if a bunch of very short people walked in does this make sense?

OpenStudy (kikuo):

Yes I'm thinking.

OpenStudy (kikuo):

It makes sense, but I want to know why it does that. What about the mean and median make them so different that one would be small and one would be big based on that data set? It's their properties I'm trying to understand, although I know what a mean and median is. I want to know why all the other choices in the screenshot are wrong.

Vocaloid (vocaloid):

that's a very good question! best way to explain it is that: the mean is based on the value of each number, while the median is based on the position of each number. let's say we have a data set: 1,2,3,4,5 which has a median of 3 and a mean of 3

Vocaloid (vocaloid):

we can add 10 to the set, which makes the mean 4.167 and the median 3.5

Vocaloid (vocaloid):

if we add 100 to the set instead of 10, the mean is 19.167 and the median is still 3.5

Vocaloid (vocaloid):

since the median is only affected by position, it tends to change less than the mean

Vocaloid (vocaloid):

I hope that makes it a little clearer

OpenStudy (mathmate):

To give you context, @518nad 's examples: `scores = {5,6,97,98,99,99,100,100}, what is the mean and median?` `scores = {1,1,3,4,5,5,100,100}, what is the mean and median?` The first one is for an easy exam, almost everyone got full marks. The two low marks are probably those who didn't go to class, or those who got direct answers from math sites. The second example is a typical VERY difficult exam. The two who got 100 are either geniuses or they studied day and night for the exam. Now examine the marks of each example, compare with the mean and median for each example that you calculated. See if you can visualize something out of them.

OpenStudy (kikuo):

@mathmate I haven't been able to see anything, yet.

OpenStudy (kikuo):

I'm still looking.

OpenStudy (mathmate):

distribution of the two exams |dw:1477958419765:dw|

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