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Which of the choices below best describes how to measure the spread of this data? (Hint: Use the minimum and maximum values to check for outliers.) a. Both spreads are best described with the IQR. b. Both spreads are best described with the standard deviation. c. The college spread is best described by the IQR. The high school spread is best described by the standard deviation. d. The college spread is best described by the standard deviation. The high school spread is best described by the IQR.
I think it's A? I know it's not B.
I think it may be D, actually. Cause I saw a couple of people say that they got A and C wrong. I put B before and got it wrong, so it must be D? I don't know.
it says use the min and max data to check for outliers
Don't they both have an outlier?
if the mean > median generally an outlier exists
The median is more accurate than the mean
I'm just having a hard time understanding when to use standard deviation and when to use IQR. I know my textbook says that if the distribution of data is symmetrical, then the best measurement to use is standard deviation. And if the data is asymmetrical, the best measurement is IQR. I don't know if I'm making any sense here, so I'm sorry. I really suck at math.
beuase it takes things in order, so the mean is shifgted upwards or downwards depending on the data
standard deviation is a relative measure (i.e. relative to the mean)
I know, and IQR is relative to the median.
Sorry it took me so long to type, I was looking at my textbook.
IQR , think about it, "quartile" means "quarter" divide into 4 quarters
the lower quartile is the value one way into the data the upper quartile is the value 3 quarters into the data the upper quartile minus the lower quartile is the IQR
I keep thinking it's A because the data isn't evenly distributed, and it has outliers. But I remember somebody saying they got that wrong, so I'm just completely stuck.
think about the mean.,. now what is going to upset the mean, only outliers
outliers dont upset the median as much
Sorry, I didn't read what you typed above, it didn't show because my computer froze for a couple minutes. I'm gonna read it now
this is becuase the median will shift as the data extends
So the IQR for the high school would be 5 and the IQR for the college would be 7.5
Okay, so the outliers upset the mean, not the median. So it would be IQR, not standard deviation, right?
take simple examples: use 1, 2, 3, 4 5 what is the mean?
correct, now what is the median?
correct also, now chose 1, 2, 3, 4 & 13 what is the mean and what is the median
mean: 4.6 median: 3
see what happens to the mean when you have an outlier?
Yeah, like you said before, it messes up the mean.
now you are gettin it, cool!
Well thanks for helping so much :p
now you can look at your table and guess your answer
5-50 average should be about 25
however, the mean is 13.8 which means there must be an outlier somewhere
So it would be A? Because there's also an outlier in the high school plot.
Cause outliers would cause the shape of the data to be asymmetric, and IQR is the best measure of spread for asymmetrical data.
which shows how to best measure the spread of the data, well you cant use measure of central tendency (mean, median etc) to show spread, you have to use measures of spread (IQR or standard deviation etc)
Once again you need to be able to "see" the data, i.e relative to the mean, to be able to judge which one is best for judging this, this is the whole point of the exercise