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So here is the methodology: 1. Hit http://money.cnn.com/magazines/fortune/fortune500/2008/full_list/ http://money.cnn.com/magazines/fortune/fortune500/2008/ful
by gne1963 18y ago
So here is the methodology:
1. Hit http://money.cnn.com/magazines/fortune/fortune500/2008/full_list/ http://money.cnn.com/magazines/fortune/fortune500/2008/full_...
2. Randomly pick a company from the list... for instance: Pick Paychex Systems... company 921 on Fortunes list...On their career site they list 137 current job openings...
3. Add that to your total...
4. Repeat until you have a representative sample.
5. Extrapolate to 1000...
Question: Using an appropriate random number generation between 1 and 1000, what is the sample size required to then estimate the total job openings on the 1000 sites?
- NyxWulf 18y agoWell here are a couple of things: you show 99 records on your excel spreadsheet, with an average of 709 and a standard deviation of 1073. With that large of a standard deviation and that average you can't assume a normal distribution so you need to use the T distribution. Using the T distribution at a 95% confidence level I come up with an estimated average of [495, 923] which results in a number of jobs in the top 1000 from 495,000 to 923,000 with a 95% certainty. Just for kicks I wanted to see what would happen if you sampled 500 times but had that same standard deviation. At that point your spread would be about +/- 100 for the average value of X. If you are looking for a singular number you'll need to check all 1,000 of them, otherwise it will be an estimated range.
- gne1963 18y agoThanks! So what if I did another 100 random sample resulting a "better" (lower) std dev? At what level of std dev could one assume a normal distribution out to 1000? gne