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
Convert 7.9 million into standard value
Approx 84%.
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)].
78
Your question can not be answered. A tally of all scores in the class is necessary. These are then ranked (lowest to highest), and the percentiles identified. For more information, I suggest you look at percentiles under wikipedia.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.
If the standard deviation of 10 scores is zero, then all scores are the same.
In a criterion-referenced test, percentages are calculated based on mastery of specific content or skills against a predetermined standard or criteria. On the other hand, percentiles in a norm-referenced test indicate a test taker's rank compared to a specific group of test takers, showing the percentage of scores that are equal to or below a particular score.
None.z-scores are linear transformations that are used to convert an "ordinary" Normal variable - with mean, m, and standard deviation, s, to a normal variable with mean = 0 and st dev = 1 : the Standard Normal distribution.
you multiply it by 10
The 25-75th percentiles of the ACT are from 24-29, so a middle 20 range or onwards should be pretty safe for admission.
All the scores are equal
p10 eguals
If it is possible to assume normality, simply convert the desired score to a z-score, and look up the probability for that.
This can only be done with the RAW scores, if it has been calculated to the individual Service's scores, it cannot be converted
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