Wiki User
∙ 12y agoStandard deviation is the spread of the data. If each score has 7 added, this would not affect the spread of the data - it would be just as evenly spaced or clumped up, but 7 greater. The only thing that would affect the spread is multiplying every data point by 0.9. This makes distances between the data points 0.9 times as big, and thus makes the standard deviation 0.9 times as big. The standard deviation was 5.6, and so now is 5.6x0.9 = 5.04
Wiki User
∙ 12y 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.
Because the z-score table, which is heavily related to standard deviation, is only applicable to normal distributions.
78
A z-score requires the mean and standard deviation (or standard error). There is, therefore, not enough information to answer the question.
The standardised score decreases.
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
The absolute value of the standard score becomes 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.
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.
standard deviation
No. The standard deviation is not exactly a value but rather how far a score deviates from 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.
Because the z-score table, which is heavily related to standard deviation, is only applicable to normal distributions.
The standard deviation.z-score of a value=(that value minus the mean)/(standard deviation)