# Additional Examples.Topic 6 - Hatfield STAT 211(all...

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Hatfield STAT 211 (all sections) Additional – Topic 6 In the example below, obviously, the center of the CI is 132……….Remember, that the Z values given below are rounded to 2 decimal places. Use more exact values when working things up for yourself. The reason that the CI increases with CI percentage is that you need a wider range to give yourself enough of a “cush” that the value you’re trying to estimate should be within the range. Accepting less risk means a wider CI. The values listed above are old, but serve as an example of the concept (use the ones I gave you in class). Of course, if you want to do some “odd ball” CI (like an 84% CI), you’d be stuck and have to do it in StatCrunch.

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Large sample CI for population mean Does it matter what the underlying distribution is? Not really. Since we have a large sample, the resulting sampling distribution will tend to be normal. Two things here are to remember to split the alpha into the two tails (5% each) for a 90% CI and don’t forget to divide s by the sqrt of the sample size to get the standard error.
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