Exam 5: Z Scores, T Scores and Other Normal Curve Transformations

If the mean of the raw score distribution equals 120 with a standard deviation of 5, then a raw score of 130 would have a T score of

If one knows the mean, the raw score and the z score, then the z score equation can be used to calculate the standard deviation.

On a normal distribution, percentiles may be converted into raw scores

A z score of -1.50 indicates that the raw score is

The range of the T score distribution always equals approximately

Whenever the z score equation is used in order to calculate the mean, the mean must always be less than the raw score

Whenever the value of the z score is positive, then

When a raw score translates into a negative z score, then the mean of the distribution

When the z score is negative, so too is the T score.

A certain raw score equals 85 and is at the 85th percentile. The standard deviation is 15.27 What is the mean of the distribution?

The distribution of T scores is assumed to be

On a T score distribution, 68% of the cases must fall between T scores of

With a mean of 150 and an SD of 17, find the T score for a raw score of 80.

The z score distribution always assumes a

For the questions below ,find the T score. -z = -.10

The mean on a test is 75 with an SD of 10. What is the raw score for a percentile rank of 80?

For the questions below ,find the T score. -z = 2.25

When converting a z score into a raw score, anytime the z score is negative in sign

When the value of T equals 40, the z score must be positive.

When the value of the mean is less than the value of the raw score, then the raw score must convert to a T score of greater than 50.