* By hand?
* With Excel?
* With R?
* With processing?
I'm a little sad to see that this item has been flagged heavily, but I guess there are people who think this is sufficiently off-topic that it should be in the same category as spam.
11–20 of 57 posts
* By hand?
* With Excel?
* With R?
* With processing?
I'm a little sad to see that this item has been flagged heavily, but I guess there are people who think this is sufficiently off-topic that it should be in the same category as spam.
for i in {1..6}; do COL='$'$i; awk -F, "{delta = $COL - avg; avg += delta / NR; mean2 += delta * ($COL - avg); } END { print sqrt(mean2 / NR); }" list.csv; done
[troll]
Checking it seems that this is borne out. So is the data real? What is being assessed here?
Interesting to see that people prefer std dev to variance for this problem.
So D and E are temperature, and C and F are weights.
Anyway, a serious approach to this problem would require comparing against solid real-life data. Off the bat assumptions about distributions of real life data are often very wrong.
Edit: If you want to try, copy the data and click the "Paste data from Excel link" on the left under the Data Tab, paste and load. Then choose histogram under the Graph tab. It plots the X var (ignores Y). Sorry it's a bit shabby, I haven't worked on it in a while.
Several people have said they would, or have, ploted histograms - but how? * By hand? * With Excel? * With R? * With processing? I'm a little sad to see that this item has been flagged heavily, but I guess there are people who think this is sufficiently off-topic that it should be in the same category as spam.
but to be honest the first thing i would do is google for suitable approaches...