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Thread: Normal Distribution Q

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    Normal Distribution Q

    So how do you solve this one? Thanks
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    Do we really have to measure the shape of the gauss curve or some crap like that?

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    Knock Out!

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    can you post it for the rest of us?

    ImageShack® - Hosting

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    Quote Originally Posted by DWarrior View Post
    can you post it for the rest of us?

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    He has already posted the question ! The attachment is the same image!

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    TestMagic Guru-in-Training DWarrior 's dreams are becoming reality. DWarrior's Avatar
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    All I see is his first post:

    So how do you solve this one? Thanks
    Attached Images propb.bmp (327.4 KB, 4 views)
    and second post:

    Do we really have to measure the shape of the gauss curve or some crap like that?
    I can't view the .bmp

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    Sorry DWarrior. But the image in his post was visible to me. So I thought it could be viewed by all. Anyway, I have posted it now.

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    TestMagic Guru-in-Training DWarrior 's dreams are becoming reality. DWarrior's Avatar
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    Yeah, that is a tough one, can't really tell if that part is convex or concave without using the formula or having a stats chart.

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    Quote Originally Posted by DWarrior View Post
    Yeah, that is a tough one, can't really tell if that part is convex or concave without using the formula or having a stats chart.
    True. I too need to revise my statistical concepts!

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    So I found the necessary property:
    inflection points of a normal curve occur at +/- 1 SD away from the mean.

    If you apply the 68/95/99.5 rule, we know the inflection point occurs at 34%, which is after the 30% mark, meaning the curve is bulging upwards at 30%.

    450 is half-way between the two y-values, while 30% is half-way between the two x-values. The curvature is exaggerated for emphasis:

    k<30, so B
    Last edited by DWarrior; 11-05-2007 at 06:41 PM.

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