Ah, where are the good old days, when a score of 72 was always better than a score of 62,
and that was all you needed to know, and it didn't matter how well or poorly anybody else
in the class was doing ?
Sam Levinson used to tell about the time his son brought home a report card, and on the
report card the teacher had written "For him, he is doing good", and Sam used to say,
"Now all I need to know is: Who is 'him' ?"
T-scores have a mean of 50 and a standard deviation of 10. These values are fixed and do not change regardless of the distribution of T-scores.
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
78
T score is usually used when the sample size is below 30 and/or when the population standard deviation is unknown.
The answer will depend on what the variable is: turnover, profit, floor area, number of customers, etc.
If the standard deviation of 10 scores is zero, then all scores are the same.
All the scores are equal
mean
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
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.
Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.
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.
T-scores have a mean of 50 and a standard deviation of 10. These values are fixed and do not change regardless of the distribution of T-scores.
5
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.
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.
Standard deviation