Question

Which of the following is a way to reduce "noise" in the data?

Throw out data points that you don't like.

Take the correlation coefficient of the data.

Average the data.

Take the standard deviation of the data.

Answer 1

@whpalmer4

Answer 2

@UnkleRhaukus

Answer 3

If you through out the noisy ones...
that should work, but its not very scientific

Answer 4

taking the correlation coefficient, or the standard deviation...
isn't going to change the data is it?

Answer 5

no

Answer 6

if you have a few separate measurement of the same point, i guess that you could average them,

Answer 7

i'm not sure.

Answer 8

so according to you C is the most logical right?

Answer 9

What kinda of data is it?

Answer 10

idk that is all it says

Answer 11

I think A and C are both ways to reduce noise in the data.

Answer 12

yeah but I think C is better

Answer 13

If you can only pick one, i probably would go with C.

Answer 14

In practice though, I have certainly been guilty of option A.

Answer 15

In practice, averaging data mean you need to take much more measurements.

Answer 16

alright thank you very much :)

Answer 17

The correlation coefficient and standard deviation will tell you how noisy your data is, but it won't fix it.