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Mathematics 19 Online
OpenStudy (baewolfstar):

If the outliers are not included, what is the mean of the data set? 76, 79, 80, 82, 50, 78, 83, 79, 81, 82 77 78 79 80 Ik how to do it, but I can't find the other outlier, I only found 50

OpenStudy (mysticfury):

if those are all the numbers then theres only one outlier

OpenStudy (baewolfstar):

Thats what i thought but it says "outliers" and i calculated it and i got 72 which is not an option so im confused

OpenStudy (mysticfury):

you might want to re calculate it ....

OpenStudy (baewolfstar):

ok i will

OpenStudy (baewolfstar):

ohh this time i got 80 thats strange

OpenStudy (mysticfury):

thats what i got too @baewolfstar

OpenStudy (mathmale):

Calculate the 1st and 3rd quadrant. Subtract these 2 values to obtain the IQR. Use this IQR quantity to identify which of the data points are outliers. I will comment on your work only if you share your work here.

OpenStudy (baewolfstar):

Oh i did it a different way I just added it all together divided by how many numbers were there and got 80

OpenStudy (baewolfstar):

is the way i did it, incorrect?

OpenStudy (mysticfury):

i dont think thats neccessary @mathmale .... an outlier is : a data point on a graph or in a set of results that is very much bigger or smaller than the next nearest data point.

OpenStudy (mathmale):

Technically your definition of "outlier" is not good enough. There is a rule for identifying mild outliers and another for identifying extreme outliers. Do you know the first rule? Please note that you are expected to identify the outliers, if any, and remove them BEFORE finding the mean of the remaining data.

OpenStudy (mathmale):

Mild outliers: Any data that lies more than 1.5IQR above Q3 or leftward more than 1.5 IQR below Q1.

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