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Given a set of n scores, the variance is sum of the squared deviation divided by n or n-1. We divide by n for the population and n-1 for the sample.

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Q: Is the variance of a group of scores the same as the sum of the squared deviations or the average of the squared deviations?
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What is the variance of of the scores 3 4 8 and 9?

sum of scores: 24 mean of scores : 24/4 = 6 squared deviations from the mean: 9, 4,4,9 sum of these: 26 sample variance: 26/4 = 6.5


1 The average of the squared deviation scores from a distribution mean?

Variance


What word means the average of the squared deviation scores from a distribution mean?

Variance


Is the variance of a group of scores the same as the squared standard deviation?

The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.


The standard deviation is the square root of the average squared deviation of scores from the?

mean


What is the variance of these four scores 6 9 3 6?

The variance is: 6.0


In statistics what is the variance of these four scores 0 1 1 2?

The variance is: 0.666666666667


What is the variance of these five scores 0 0 1 2 3?

Average = (0+0+1+2+3)/5 = 1.2 Variance = 1/N * SUM (x-E(x))2 = 1/5 * 6.8 = 1.36 Answer: Variance = 1.36


What percentage of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution?

99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.


What is the range and standard deviation when the variance for a set of scores is 25?

5


What is the variance of these four scores - 0 1 1 2?

0.666666666667


Assume that aset of test scores is normally distributed with a mean of 100 and a standard deviation of 20 use the 68-95-99?

68% of the scores are within 1 standard deviation of the mean -80, 120 95% of the scores are within 2 standard deviations of the mean -60, 140 99.7% of the scores are within 3 standard deviations of the mean -40, 180