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What word means the average of the squared deviation scores from a distribution mean?
Variance
What is the range and standard deviation when the variance for a set of scores is 25?
5
The standard deviation is the square root of the average squared deviation of scores from the?
mean
If the standard deviation of 10 scores is 0?
If the standard deviation of 10 scores is zero, then all scores are the same.
How do you create five scores with a mean of 10 and a standard deviation of 0?
Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.
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
What is the range and standard deviation when the variance for a set of scores is 25?
5
The standard deviation is the square root of the average squared deviation of scores from the?
mean
What will happen if the difference between scores and the mean decreases?
The variance and the standard deviation will decrease.
Is the variance of a group of scores the same as the sum of the squared deviations or the average of the squared deviations?
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.
If the standard deviation of 10 scores is 0?
If the standard deviation of 10 scores is zero, then all scores are the same.
If standard deviation of 10 scores is 0?
All the scores are equal
What does standard deviation show us about a set of scores?
Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.
What is standardized variables?
A variable that has been transformed by multiplication of all scores by a constant and/or by the addition of a constant to all scores. Often these constants are selected so that the transformed scores have a mean of zero and a variance (and standard deviation) of 1.0.
How do you create five scores with a mean of 10 and a standard deviation of 0?
Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.
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
