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

Variance


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

mean


What statistic is the average amount by which the scores in a distribution vary from the mean?

Standard deviation


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.


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.


The mean of a distribution of scores is the?

The mean of a distribution of scores is the average.


What is the mean and standard deviation of a distribution of T-scores?

The answer depends on the degrees of freedom (df). If the df > 1 then the mean is 0, and the standard deviation, for df > 2, is sqrt[df/(df - 2)].


What percent of the scores in a normal distribution will fall within one standard deviation?

It is 68.3%


How many of scores will be within 1 standard deviation of the population mean?

Assuming a normal distribution 68 % of the data samples will be with 1 standard deviation of 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.


What is the average IQ for a 27 year old women?

IQ scores are standardized by age, with a mean of 100 and a standard deviation of 15. So, the average IQ for a 27-year-old woman would also be around 100, with a range of scores considered within the normal distribution.


Will increasing the frequency of scores in the tails of a distribution effect the standard deviation How or Why?

Yes. It will increase the standard deviation. You are increasing the number of events that are further away from the mean, and the standard deviation is a measure of how far away the events are from the mean.