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Q: If a test score of 83 was transformed into a standard score of -1.5 and the standard deviation of the scores was 4 what is the mean?

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Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller. Because the standard deviation is a measure of the spread in scores. As individuals score more similarly, the spread gets smaller.

A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.

the VMI has a mean score of 100 with standard deviation of 15. So scores between 85-115 are considered average.

T scores are also standardized norm scores, where the mean value is 50 and standard deviation value is 10, in contrast to Z scores where mean value is "0" and standard deviation value is 1. -Rama Reddy Karri

This would increase the mean by 6 points but would not change the standard deviation.

T score is usually used when the sample size is below 30 and/or when the population standard deviation is unknown.

The standardised score decreases.

68 % is about one standard deviation - so there score would be between 64 and 80 (72 +/- 8)

T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.

No, it is called the absolute deviation.

The absolute value of the standard score becomes smaller.

score of 92

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