Friday

April 18, 2014

April 18, 2014

Posted by **David** on Saturday, November 30, 2013 at 7:44pm.

92.3 89.4 76.9 65.2. 49.1. 96 7. 69.5. 72.8. 77.5 52.8. 8.85. 79.2. 72.9. 68.7. 75.8

- elementary statistics -
**MathGuru**, Monday, December 2, 2013 at 5:42pmThere are different ways you can do this kind of problem, but the formula below might be one of the easier ways:

s/[1 + (1.645/√2n)]

..to..

s/[1 - (1.645/√2n)]

...where s = standard deviation, 1.645 represents the 90% confidence interval using a z-table, and n = sample size.

You will need to calculate standard deviation from the data given, then substitute the standard deviation and sample size into the formula.

After you finish the above calculations, square the standard deviation values to find the variance values.

I hope this will help get you started.

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