Recent content by lotsofmoxie

  1. L

    Central limit theorem and estimates of probability

    Is the answer zero? I can post my reasoning if its forum policy or something
  2. L

    Central limit theorem and estimates of probability

    Err sorry, typo. It's 1/4. so we get P(X>275) >= 1-cdfnorm[(275-275*p)/(sqrt(n/4)) what about the p in the numerator? Are we trying to get a lower or upper bound?
  3. L

    Central limit theorem and estimates of probability

    Hmmm. So the max value of p(1-p) (if I'm using p = probability that a given person answers yes to the question) would be 1/2. So I can plug that into my z value?
  4. L

    Central limit theorem and estimates of probability

    I'm really not seeing how it is possible to do this problem without knowing the probability that a particular person answers yes or no. You need this to calculate an exact Z value, and how large or small it is makes a huge difference to the answer - from what I can see, the central limit...
  5. L

    Central limit theorem and estimates of probability

    I'm really not seeing how it is possible to do this problem without knowing the probability that a particular person answers yes or no. You need this to calculate an exact Z value, and how large or small it is makes a huge difference to the answer. My gut tells me that we are just supposed to...
  6. L

    Central limit theorem and estimates of probability

    What can we say about the population distribution besides it is binomial and about the sample distribution besides its average is approximately normal with large enough n?
  7. L

    Central limit theorem and estimates of probability

    Homework Statement Assume five hundred people are given one question to answer - the question can be answered with a yes or no. Let p =the fraction of the population that answers yes. Give an estimate for the probability that the percent of yes answers in the five hundred person sample is...
  8. L

    Poisson process and exponential distribution arrival times

    ****. I wrote my integral down messily and I mistook a u for a 4 in the bounds and never caught my mistake later. It should be ∫∫1/4*5e^(-5t)dtdu where inner integral is over (u, infinity) and outer is over (0,4), which gives the same answer as using your method above. I really hate myself...
  9. L

    Poisson process and exponential distribution arrival times

    I got 0.04999999989. I don't see where I went wrong when I did the integral - it didn't seem too messy when I did it putting the numerical values in first, but for some reason it is wrong. I tried plugging it into wolfram alpha, and the answer it gave was the same as the one I calculated, so...
  10. L

    Poisson process and exponential distribution arrival times

    Wait, the problem you just explained was part e, right? I was trying to do d).
  11. L

    Poisson process and exponential distribution arrival times

    So starting with the inner integral ∫1/4*5e^(-5t)dt pull out the 1/4 so we have 1/4 ∫5e^(-5t)dt over (4,oo) use a substition w=-5t, dw=-5dt--->dt=dw/-5 so the integral becomes 1/4 ∫5e^(w)dw/-5 over (some interval that doesn't matter because I'll convert it back to t before using them) =-1/4...
  12. L

    Poisson process and exponential distribution arrival times

    Gah Ok. ∫∫1/4*5e^(-5t)dtdu where inner integral is over (4, infinity) and outer is over (0,4) Is this the integral you are starting with?
  13. L

    Poisson process and exponential distribution arrival times

    Thank you for responding. It makes sense now. I'm getting 1-1/e^20 for d). Is this correct?
  14. L

    Poisson process and exponential distribution arrival times

    especially on a, b, c I'm not sure if I'm doing it right (my answer for b seems intuitively too small).
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