This should be an easy question, but I can't think of how to answer it! I never did take enough stats.(adsbygoogle = window.adsbygoogle || []).push({});

I'm looking at n = 77 returned surveys which come from a population of size 627. (At the moment I'm assuming that response is uncorrelated with the answers; it's actually somewhat reasonable in this case, and I don't have the background I'd need to assume otherwise!)

Each survey contains count data: I have

[ ] 0

[ ] 1

[ ] 2

[ ] 3

foos (for variousfoo). From this I can of course determine the number offoos in the sample, and the BLUE for the total across the population. But what sort of distribution should I use to determine a (say) 90% confidence range? I was toying with misusing a Poisson model here (each respondent acting like a time interval), but even so I wasn't able to determine a CI (must have been doing something very wrong; when I did a normal approximation of the Poisson I came up with a negative lower bound!). In summary:

1. What sort of distribution is appropriate? A simpler one would be better.

2. Very briefly (one sentence or just drop in a link; I'll work out the details) how do I find a CI with that distribution?

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Practical problem: need a distribution!

Loading...

Similar Threads - Practical problem need | Date |
---|---|

Optimizing profit in a practical setting, best technique? | Apr 11, 2014 |

Beale Conjecture Reduced to Practicality? | Jun 6, 2013 |

Finding practice problems on linear models grad level | Apr 6, 2013 |

How to practically use a Kernek density for a smoothing application | Mar 11, 2012 |

Help Needed - Practice Problem! | Oct 3, 2006 |

**Physics Forums - The Fusion of Science and Community**