Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Explaining variations

  1. Apr 6, 2006 #1
    I have two sets of data. The first is the observed value for a number of objects, the second is the predicted value for those objects. I want to know how much, in %, my equation is able to predict. What's the name of the statistical test to know that ?
  2. jcsd
  3. Apr 6, 2006 #2


    User Avatar
    Staff Emeritus
    Science Advisor

    What "equation" are you talking about? Are you under the impression that this question makes any sense at all?
  4. Apr 6, 2006 #3
    Lets say you have a number of species and you know their size S;

    (S1, S2, S3 .. Sn)...

    Then, you have an equation to predict the size on those animals. So you have another "vector" with predicted size P;

    (P1, P2, P3 ... Pn)...

    In an article, the author said his equation (the one he used to get P1, P2...) explains X% of the variation in size, but he doesn't give any clue to the method he used to find that %. I just want to know what's the name of the method he used, how can you know how much the predicted size explains the variations in the observed size ?
  5. Apr 17, 2006 #4
    What I understood it correctly is as follows:

    U have an equation y=f(x), to find the size of the animal.
    Now to find its accuracy, u take a sample of size n (i.e. ur observed value) n try to find the % of variation by comparing the values of actual n observed one…
    One simple method is
    Find out which distribution the random variable X (the size) follows.
    If it follows normal distribution, then try to estimate the mean n variance of it by using some unbiased estimator (for any other distribution, estimate the unknown parameter of the PDF).
    Hope u can do the needful… good luck
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook

Have something to add?

Similar Discussions: Explaining variations
  1. Variation and the mean (Replies: 1)

  2. Coin flip variation? (Replies: 2)