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Thread: Help with mean and standard deviation question.

  1. #1
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    Question Help with mean and standard deviation question.

    A summary of 24 observations of x gave the following information:
    ∑(x-a)=-73.2 and ∑(x-a)2=2115
    The mean of these values of x is 8.95.

    (i) Find the value of the constant a.
    (ii) Find the standard deviation of these values of x.

    HELP PLZ!
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  2. #2
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    Quote Originally Posted by Jay Jay View Post
    A summary of 24 observations of x gave the following information:
    ?(x-a)=-73.2 and ?(x-a)2=2115
    The mean of these values of x is 8.95.

    (i) Find the value of the constant a.
    (ii) Find the standard deviation of these values of x.

    HELP PLZ!
    Since no probability is given, we denote the mean of x as $\displaystyle \mu = \Sigma x/n$

    We know n is 24, and $\displaystyle \mu = 8.95$. Therefore, $\displaystyle \Sigma x = (24)(8.95) = 214.8$

    Your problem gives $\displaystyle \Sigma (x - a) = -73.2$

    That can be rewritten as $\displaystyle \Sigma x - a = -73.2$.
    $\displaystyle a = 214.8 + 73.2$ <------ $\displaystyle \Sigma x = 214.8$ from above
    $\displaystyle a = 288$

    I'll take a stab at part (ii) as well.

    From above, for your second equation, substitute our value of 288 for a, we get $\displaystyle \Sigma (x - 288)^2 = 2115$

    Expanding and simplifying, we get:
    $\displaystyle \Sigma x^2 - 576\Sigma x + 82944 = 2115$
    $\displaystyle \Sigma x^2 - 576(214.8) + 82944 = 2115$ <------ remember that $\displaystyle \Sigma x = 214.8$ from part i
    $\displaystyle \Sigma x^2 = 42895.8$

    Now, we know that Variance, denoted as $\displaystyle \sigma ^ 2 = \Sigma (x - \mu)^2$

    Plugging in our value for $\displaystyle \mu = 8.95$ and simplifying, we get:

    $\displaystyle \sigma^2 = \Sigma x^2 - 17.9\Sigma x + \Sigma 80.1025$
    $\displaystyle \sigma^2 = 42895.8 - 17.9(214.8) + 80.1025$ <---- we figured out earlier $\displaystyle \Sigma x$ and $\displaystyle \Sigma x ^2$
    $\displaystyle \sigma^2 = 42895.8 - 3844.92 + 80.1025$
    $\displaystyle \sigma^2 = 39130.98$

    Now calculate standard deviation, denoted as $\displaystyle \sigma$
    $\displaystyle \sigma = \sqrt{\sigma^2}$
    $\displaystyle \sigma = \sqrt{39130.98}$
    $\displaystyle \sigma = 197.8155$
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