Posted by KEENE on Friday, February 6, 2009 at 7:38am.
about c)
the variance is the sum of the squares of the deviations from the mean.
Since most of you data values hover around 0-5, it is hard to tell whether you squared the differences or the actual data values.
I see a 5x5, so it appears that you simply squared the data values.
take each data value, subtract it from the mean, then square it.
now add these up, they should all be positive, and divide by 21
That is your variance.
the standard deviation is the square root of that variance.
I don't know at what level of sophistication your study of statistic is, but there is a difference in how the variance and standard deviations are calculated.
If you "google" variation and standard deviation, most pages will explain that difference
Here is a page that gives a short explanation
http://www.chem.utoronto.ca/coursenotes/analsci/StatsTutorial/MeasMeanVar.html
Your last question shows up as imcomplete.
A Z score is found by:
(your score - mean)/standard deviation
so suppose one of your values is 350, then the z-score for that data value would be (350 - 300)/20 or 2.5
For the following scores, find the (a) mean, (b) median, (c) sum of squared deviations, (d) variance, and (e) standard deviation:
3.0, 3.4, 2.6, 3.3, 3.5, 3.2
A psychologist interested in political behavior measured the square footage of the desks in the official office of four U.S. governors and of four chief executive officers (CEOs) of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, and 36 square feet. (a) Figure the means and standard deviations for the governors and for the CEOs. (b) Explain, to a person who has never had a course in statistics, what you have done. (c) Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general.
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