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Nnesha (nnesha):
first find mean of that data
Nnesha (nnesha):
mean = average
OpenStudy (asad786):
MEAN IS ALL ADDED THEN DIVIDED BY HOW MANY NUMERS THERE ARE RIGHT
srry about caps
Nnesha (nnesha):
yes right.
OpenStudy (asad786):
ok 1 sec
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Nnesha (nnesha):
first) find the mean
2nd) find distance from the mean and each value
3rd) find the mean of distance data :=)
Nnesha (nnesha):
ok
OpenStudy (asad786):
mean is 12.75
Nnesha (nnesha):
yes right now find distance between mean and data
subtract mean from each value of the data
like
12.75 - 4
12.75 - 18
OpenStudy (asad786):
@Hero
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OpenStudy (asad786):
oh ok
OpenStudy (asad786):
4=8.75
OpenStudy (asad786):
18=-25
OpenStudy (asad786):
-5.25
Nnesha (nnesha):
each distance is an absolute mean deviation \[\rm \left| distance = mean ~deviation \right| = always ~positive \]
so \[\left| 12.75-18 \right|= 5.25\]
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OpenStudy (asad786):
oh
OpenStudy (asad786):
/12.75-13=.25
OpenStudy (asad786):
right
Nnesha (nnesha):
so you can't have the negative sign
so
12.75 - 4= `8.75`
12.75 - 18 = `5.25`
Nnesha (nnesha):
yes right !
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OpenStudy (asad786):
ok
OpenStudy (asad786):
what do i do after
Nnesha (nnesha):
find the distance between all points
12.75-16= ?
12.75- 8= ?
Nnesha (nnesha):
12.75-11=?
OpenStudy (asad786):
16=3.25
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OpenStudy (asad786):
8=4.75
OpenStudy (asad786):
11=1.75
Nnesha (nnesha):
yes right now find the mean of distance points
`8.75 , 5.25 , .25, 3.25 , 4.75, 3.25, 3.25 ,1.75`
OpenStudy (asad786):
1 sec
Nnesha (nnesha):
ok :=)
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OpenStudy (asad786):
30.5
Nnesha (nnesha):
\(\color{blue}{\text{Originally Posted by}}\) @Asad786
MEAN IS ALL ADDED THEN DIVIDED BY HOW MANY NUMERS THERE ARE RIGHT
srry about caps
\(\color{blue}{\text{End of Quote}}\)
^^that's how we should find mean :=)
OpenStudy (asad786):
lol can i have medal too
Nnesha (nnesha):
MEAN IS ALL ADDED THEN DIVIDED BY `HOW MANY NUMERS THERE ARE `RIGHT
Nnesha (nnesha):
divide by the number of numbers
30.5 isn't the answer
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OpenStudy (asad786):
oh so what is
OpenStudy (asad786):
oh yeah forgot
OpenStudy (asad786):
3.8125
Nnesha (nnesha):
looks good ,good job!
OpenStudy (asad786):
thx
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