Wiki User
∙ 14y agoYou can find this using a table of z scores.
Z = (x - mu) / s
Z = (109 - 100) /15 = 9/15 = 3/5 = .6
You want the percentage of students having a z score above .6.
p = 1 - .7257 = .2743
.2743 * 1800 = 493 students with a score above 109
Wiki User
∙ 14y agoT-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
The absolute value of the standard score becomes smaller.
2 standard deviation's below the mean
Because the z-score table, which is heavily related to standard deviation, is only applicable to normal distributions.
78
The standardised score decreases.
An average IQ score for a 7 year old is typically around 100, so a score of 119 would be considered above average. IQ scores are standardized to have a mean of 100 with a standard deviation of 15, so a score of 119 would fall about 1 standard deviation above the average.
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
score of 92
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 absolute value of the standard score becomes smaller.
When you don't have the population standard deviation, but do have the sample standard deviation. The Z score will be better to do as long as it is possible to do it.
A negative Z-Score corresponds to a negative standard deviation, i.e. an observation that is less than the mean, when the standard deviation is normalized so that the standard deviation is zero when the mean is zero.
There are approximately 16.4% of students who score below 66 on the exam.
standard deviation
2 standard deviation's below the mean
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.