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Mathematics 11 Online
OpenStudy (anonymous):

HELP olmy in 2 GRADER

jaynator495 (jaynator495):

what do you need help with??

OpenStudy (anonymous):

ok let me type it

OpenStudy (anonymous):

find the outlier 68 63 67 66 65 87 69 61 80 82 28 and what is an outiler thanks

OpenStudy (anonymous):

then fnd the mean when the outlier is included and when its not inluded

OpenStudy (anonymous):

thank u

OpenStudy (anonymous):

@gsrhy456cvhjdye Outlier is 28 Mean is all the #'s added up and divided up by how many #'s so you remove the 28 with the one and add the 28 in the other set. What do you think the answer is?

OpenStudy (anonymous):

uummmm

OpenStudy (anonymous):

i don't know

OpenStudy (anonymous):

hello help

OpenStudy (anonymous):

Use a calculator add up all the #'s

OpenStudy (anonymous):

ok

OpenStudy (anonymous):

737

OpenStudy (anonymous):

Is that the set with or without the outliers?

OpenStudy (anonymous):

i don't knwo u just told me to ad all the #'s up

OpenStudy (anonymous):

Then that is the set with the outliers. Take 737/11 = The mean with outliers For the one without outliers Take 709/10 - The mean without outliers

OpenStudy (anonymous):

What answer do you get?

OpenStudy (anonymous):

70.9

OpenStudy (anonymous):

ya but what is the outlier 28??

OpenStudy (anonymous):

70.9 is correct for the mean without outliers. A outlier is a data that is abnormal. For example lets say you have data that is 1, 2, 2, 3, 5, 6, 8, 10, 100. All these #'s are 1-10 except 100. 100 is going to be your outlier, if you plot all these #'s on a chart all the numbers are close and 100 is far away there can be more than one outlier like if we took the same data and added 1, 2, 2, 3, 5, 6, 8, 10, 100, 150. 100 and 150 are now the outliers cause your main data is 1-10 and 100 and 150 are far away. In your data. 68 63 67 66 65 87 69 61 80 82 28. All your data sets are in the 60s and 80's. 28 is not located neat 60 or 80 so 28 is the odd ball, the abnormal data. Outlier is the odd ball or odd balls in a data set. If you need any more help with outliers here's a link I found. http://www.itl.nist.gov/div898/handbook/prc/section1/prc16.htm Hope this helps.

jaynator495 (jaynator495):

you sir have defintly earned a medal O_O nice in depth explnation xD @TQKMB

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