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Thread: questions for any statistics people

  1. #1

    questions for any statistics people

    I have a question on a worksheet i just can't wrap my head around. We've moved on past confidence intervals and what not so now i can't remember how to do it .

    Can anybody look at this question and help me figure it out. Can give me the answer if you want but i'd prefer a description of how you got to said answer .

    I'm probably over analyzing it

    Thanks guys.


  2. #2
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    damn, it's been like...13 years since i took statistics. i got lost somewhere around chi square. i usedtacould be able to do that problem.

    p.s.

    am i correct in thinking that the standard deviation is .1 micrometers?

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    ok wait, i'm not familiar with my greek symbology from statistics. .5 would be standard deviation. so the question is, in a sample size of 250...how many would fall outside of that .5 milimeters (which would be 10x the acceptable deviation--per manufacturer direction).

    is that correct?
    Last edited by IPD; 04-13-2011 at 08:23 PM.

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    Shit. Three years ago I could have solved this more than likely. I was quite good at managerial statistics when I took it. Don't recall much of it anymore.

  5. #5
    sorry i was at a work meeting.

    The standard deviation is .5mm

    The question wants to know what the max confidence interval is as far as i read it.


    The thing that i'm confused on it says not to exceed 250 for sample size but does that mean can use less than 250.

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    I'm like the rest of everyone here, it's been a while since I've touched this stuff and I don't reckon I was terrific with it to begin, but here's my go at it. Don't take it for truth because I could very well be wrong; it makes sense to me.

    The mean isn't 0.05mm. The mean is unknown and, as far as I can tell, not needed. The +/- 0.05mm is equal to +/- [Z_alpha/2*(sigma/sqrt(n))]. Sigma is given as 0.5, and you know the sample size, n, as 250. Thus you can solve for Z_alpha/2 -- I calculate ~1.58. From the z-table, you find 0.9429 -- 94.29% as your level of confidence. This also means that alpha/2 is 0.571 (from 1-.9429) and it follows that alpha is 0.1142. Calculate your confidence interval 100(1-0.1142)% and you obtain ~88.58%. This checks out because I obtained a confidence interval of ~88.25% initially using linear interpolation. For reference as to what I interpolated over (this stuff seems pretty standard), a confidence interval of 80% has a Z_alpha/2 value of 1.2816; 90%, 1.6449; 95%, 1.9600; 96%, 2.0537; 98%, 2.3263; 99%, 2.5758.

    What it means, as far as I understand it, is that you are 94.29% sure (statistically speaking) that 88.25% of the sample measurements will fall under management's specifications.

    Good luck, and do let me know if I'm wrong!
    -Brian

  7. #7
    well i turn it in tmrw morning and am supposed to have it back when i leave school at 5pm so will post up the answer.. It looks right after reading through that though.... i've just been focusing on Ho and ha

  8. #8
    well it's official i don't like my stats teacher.. she just put an X through it.. but gave me 1/2 credit. But no notes on what needed to be changed . There was a couple questions like that.

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    So I was wrong? Bugger....

  10. #10
    not completely.. may have given to much info and that's why got partial credit i don't know.. irritated didn't actually show me where i got things wrong on some of the questions so i can study for the test.

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