anonymous
  • anonymous
If I have a matrix of values. How do I get the mean of all this values?
Mathematics
  • Stacey Warren - Expert brainly.com
Hey! We 've verified this expert answer for you, click below to unlock the details :)
SOLVED
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
jamiebookeater
  • jamiebookeater
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
dumbcow
  • dumbcow
add them up and then divide by m*n where m and n are dimensions of matrix
anonymous
  • anonymous
Yeah I have this in mind, I just wanted to know if there is a mathematical tool that makes that for me. lol. Thanks dumbcow
dumbcow
  • dumbcow
haha there might be, i dont know

Looking for something else?

Not the answer you are looking for? Search for more explanations.

More answers

anonymous
  • anonymous
by the way, do you know what variance and covariance means. I mean, what is its physical meaning ...
dumbcow
  • dumbcow
what do you mean by physical meaning?
anonymous
  • anonymous
I dont know how to say that, but, what I want to know is what is the they represent if I get the covariance, the variance, or even the eigenvectors. I know how to get them but I dont know what information they bring. For example if I derivate a function, I know that what im getting is the slope; in the same way, if I integrate, I know that Im calculation the area under the curve. Does it make sense?
dumbcow
  • dumbcow
yes the variance tells you how spread out the data is or how far away you get from the mean covariance tells you how closely related 2 dependent variables are, if 2 variables are independent then they have a covariance of 0 high covariance means high dependence
anonymous
  • anonymous
Got it! what about eigenvectors and eigenvalues?
dumbcow
  • dumbcow
its been awhile, im not as good at explaining those this might help http://en.wikipedia.org/wiki/Eigenvector

Looking for something else?

Not the answer you are looking for? Search for more explanations.