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Analysis question

  1. Oct 3, 2013 #1
    I'm a programmer, but I know very little about statistics and am not even sure where or how to ask this. Lets say you have 2 variables about people in general, var A and var B, that are tangible characterists of these people. People either possess A or B.

    I then take 11 different measurements about the person and use those to determine if they are actually A or B without looking at them. The program successfully determines if someone is A or B in a group of 10 people. But as I test more and more people, I find that some people have slight differences or exceptions in their variables that I have to account for.

    Example: All A people have the first variable in a range of 12 to 13, the 2nd variable in a range of 5 to 6, but then I find an A person who has a range of 1 for the 2nd variable. So I add to the formula that if the 2nd variable = 1, then the person has A.

    My question - How many people would I have to test out to get an accuracy rating above 80% of the program, or is that even possible. As I add more and more subjects that fit that equation, does that translate into an increase in accuracy of the program when used on the general population?
     
  2. jcsd
  3. Oct 4, 2013 #2

    Simon Bridge

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    So to start with your model assumes that someone is one or the other ... i.e. maybe A=gay and B=straight ... and you cannot be bisexual.

    So you discover with testing that it the initial model needs to be refined to account for those mostly straight people who have experimented with same-sex relationships in college or something?

    Maybe you noticed that some people with mostly blue eyes have a bit of brown flecks in them or some people who are basically dark-skinned are, yet, not exactly black either.

    You need to change your model. Perhaps you need to set A and B as opposite ends of a scale.
    You also need to define what you mean by "accuracy rating".
    But your question is too general.
     
  4. Oct 4, 2013 #3
    To give more detail, in the example above, you could be bisexual. I was just trying to keep it simple. There is actually A, B, C, D, and E, they are on a scale going from A to E, placing people somwhere in between or on the ends.

    By accuracy rating, I wonder if I incorporate enough subjects, would it translate to being more accurate for the worlds population as a whole?
     
  5. Oct 4, 2013 #4

    Simon Bridge

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    The bigger your sample, the more representative the results will be of the population responses - if you were to test the entire population. Does that mean it is "accurate"? Depends what you mean by "accurate". Depends how you choose your sample.

    You also need a model that accounts for the continuum between the types.
    Like height is pretty continuous, but someone who is 185cm tall is actually between 184.5cm and 185.4cm
    You could be more granulated than that - using wider ranges for "small", "medium", "tall", "giant" etc.
     
  6. Oct 4, 2013 #5
    Thanks for your help Simon, after some work on the dry erase board, I've found an answer.
     
  7. Oct 4, 2013 #6

    Simon Bridge

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    Well done. I use a windowpane myself ;)
     
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