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anonymous

  • 5 years ago

If I have a matrix of values. How do I get the mean of all this values?

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  1. dumbcow
    • 5 years ago
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    add them up and then divide by m*n where m and n are dimensions of matrix

  2. anonymous
    • 5 years ago
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    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

  3. dumbcow
    • 5 years ago
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    haha there might be, i dont know

  4. anonymous
    • 5 years ago
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    by the way, do you know what variance and covariance means. I mean, what is its physical meaning ...

  5. dumbcow
    • 5 years ago
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    what do you mean by physical meaning?

  6. anonymous
    • 5 years ago
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    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?

  7. dumbcow
    • 5 years ago
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    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

  8. anonymous
    • 5 years ago
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    Got it! what about eigenvectors and eigenvalues?

  9. dumbcow
    • 5 years ago
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    its been awhile, im not as good at explaining those this might help http://en.wikipedia.org/wiki/Eigenvector

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