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Anonymous
Anonymous asked in Science & MathematicsMathematics · 10 years ago

Normal distribution - mean, standard deviation?

I'm stuck on a question from my textbook..

6% of the babies to be born in a hospital have a mass of over 3200g and 14% have a mass of less than 2600g. Given the masses are normally distributed, calculate the mean and the standard deviation.

I'm not just looking for an answer, but an explanation on how you did it please. I found the values of Z but I didn't know how to go about finding the mean and standard deviation as they're both unknowns in the equation.

Thank you! :)

3 Answers

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  • Anonymous
    10 years ago
    Favorite Answer

    p(x>3200) = 0.06 ==> p(x<3200) = 1 - 0.06 = 0.94

    p(x<2600) = 0.14

    look up these probabilities in a z table and find the corresponding z values

    z(0.94) = 1.555

    z(0.14) = -1.08

    z = (x-m)/s

    1.555 = (3200-m)/s

    -1.08 = (2600-m)/s

    you have 2 equations with 2 unknowns, solve for m and s

    2600-m=-1.08s

    3200-m = 600+2600-m = 1.555s

    600-1.08s = 1.555s

    600 = 2.635s

    s = 227.7g

    m = (2600 + 1.08s) = 2845.92g

  • ?
    Lv 6
    10 years ago

    P[X > 3200] = 0.06

    P[Z > (3200-m)/s] = 0.06

    (3200-m)/s = 1.555

    3200 - m = 1.555s ---- equation 1

    Also,

    P[X < 2600] = 0.14

    P[Z < (2600-m)/s] = 0.14

    (2600-m)/s = -1.09

    2600 - m = -1.09s --- equation 2

    Solve equations 1&2 for m and s.

  • 10 years ago

    Let X the be mass of the babies to be born in a hospital.

    P(X ≥ 3200) = 0.06

    P(X ≤ 2600) = 0.14

    P((X - μx)/σx ≥ (3200 - μx)/σx) = 0.06

    P(Z ≥ z) = 0.06

    z = 1.55

    1.55 = (3200 - μx)/σx

    P((X - μx)/σx ≤ (2600 - μx)/σx) = 0.14

    P(Z ≤ - z) = 0.14

    z = - 1.08

    - 1.08 = (2600 - μx)/σx

    1.55 = (3200 - μx)/σx

    σx = - (2600 - μx)/1.08

    σx = (3200 - μx)/1.55

    - (2600 - μx)/1.08 = (3200 - μx)/1.55

    μx = 2,846

    σx = (3200 - 2846)/1.55

    σx = 228

    Source(s): Standardized Normal Distribution.
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