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jimthompson5910 (jim_thompson5910):
The first thing you should do is write the numbers given in order from smallest to largest
jimthompson5910 (jim_thompson5910):
What do you get when you sort the data?
OpenStudy (x__hazel__x):
2, 4, 5, 6, 6, 7, 8, 9, 10, 10, 10, 11, 11, 26
jimthompson5910 (jim_thompson5910):
good
jimthompson5910 (jim_thompson5910):
what is the min? how about the max?
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OpenStudy (x__hazel__x):
2 min, 26 max
jimthompson5910 (jim_thompson5910):
yes
jimthompson5910 (jim_thompson5910):
what is the median (aka Q2) ?
OpenStudy (x__hazel__x):
8?
jimthompson5910 (jim_thompson5910):
no
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OpenStudy (x__hazel__x):
9?
jimthompson5910 (jim_thompson5910):
there are 14 values. Since we have an even number of values, the median will be between two data points (in this case between 8 and 9)
add up 8 and 9, then divide by 2
OpenStudy (x__hazel__x):
12.5
jimthompson5910 (jim_thompson5910):
think of 8 and 9 fighting over the middle. To compromise, we go halfway between 8 and 9 to get to 8.5
(8+9)/2 = 17/2 = 8.5
OpenStudy (x__hazel__x):
oh okay!
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jimthompson5910 (jim_thompson5910):
to get Q1, look at the lower half of the data. Ie, all of the values below the median
find the median of this subset {2, 4, 5, 6, 6, 7, 8}
OpenStudy (x__hazel__x):
6
jimthompson5910 (jim_thompson5910):
yes
jimthompson5910 (jim_thompson5910):
what is the median of this subset
{9, 10, 10, 10, 11, 11, 26}
OpenStudy (x__hazel__x):
10
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jimthompson5910 (jim_thompson5910):
Summary:
min = 2
Q1 = 6
Q2 = median = 8.5
Q3 = 10
max = 26
OpenStudy (x__hazel__x):
Thank you!
jimthompson5910 (jim_thompson5910):
For 2b, you'll need the interquartile range (IQR)
IQR = Q3 - Q1
Then you'll use this to find the upper fence and lower fence (U and L)
L = Q1 - 1.5*IQR
U = Q3 + 1.5*IQR
jimthompson5910 (jim_thompson5910):
If there are any values outside of the fences, then those are the outliers.
OpenStudy (x__hazel__x):
okay, this one confuses me XD
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jimthompson5910 (jim_thompson5910):
tell me what you got for the IQR
OpenStudy (x__hazel__x):
what is an IQR?
jimthompson5910 (jim_thompson5910):
interquartile range
jimthompson5910 (jim_thompson5910):
it's the distance from Q1 to Q3
jimthompson5910 (jim_thompson5910):
subtract Q3 and Q1
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jimthompson5910 (jim_thompson5910):
IQR = Q3 - Q1
OpenStudy (x__hazel__x):
ohh then, (Q1) 10 - 6 (Q3)
jimthompson5910 (jim_thompson5910):
yes
IQR = Q3 - Q1
IQR = 10 - 6
IQR = 4
agreed?
OpenStudy (x__hazel__x):
yes
OpenStudy (x__hazel__x):
so 4
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jimthompson5910 (jim_thompson5910):
use that to find the lower fence
L = Q1 - 1.5*IQR
L = ???
OpenStudy (x__hazel__x):
10 - 1.5 times 4 = 4
jimthompson5910 (jim_thompson5910):
Q1 isn't 10
OpenStudy (x__hazel__x):
ohh 6 - 1.5 times 4 = 0?
jimthompson5910 (jim_thompson5910):
yes
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jimthompson5910 (jim_thompson5910):
Upper fence (U)
U = Q3 + 1.5*IQR
U = ???
OpenStudy (x__hazel__x):
10 + 1.5 times 4 = 16
jimthompson5910 (jim_thompson5910):
The lower fence is 0. The upper fence is 16. Anything between 0 and 16 is not considered an outlier. Anything outside this boundary is an outlier.
Put another way,
If a value is smaller than the lower fence 0 OR If a value is larger than the upper fence 16
then
the value is an outlier
which values are smaller than 0?
which values are larger than 16?
OpenStudy (x__hazel__x):
hmmm, 4?
jimthompson5910 (jim_thompson5910):
look through the data set, are there any values smaller than 0?
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OpenStudy (x__hazel__x):
no
jimthompson5910 (jim_thompson5910):
correct
jimthompson5910 (jim_thompson5910):
look through the data set, are there any values larger than 16?
OpenStudy (x__hazel__x):
yes, 26
jimthompson5910 (jim_thompson5910):
so 26 is an outlier
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