T score was originally given to a type of normalized score based on a group of unselected pre-adolescents. Notwithstanding, it has come to refer to any normally distributed standard scores that has a mean of 50 and a standard deviation of 10. L F C
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
65% or D
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
Four Score = 20 x 4 = 80 + 65 = 145 years in the past.
IQ from 50 to 70 is 'Mild mental retardation'.
65 = V * 5 where V = Victor's score.
A high z-score (or t-score, depending on what info you've been given for the data) means that a number is very far away from the mean (average) number. This number might be an outlier.
If we are testing a hypothesis about the population mean , if none of the conditions of using a z-score or the conditions for using a t-score are met, we may use a proper non-parametric test.
a "T" or a "Z" score. A "T" Score if comparing a sample. A "Z" Score when comparing a population. Remember, a population includes all observation, and a sample includes only a random selection of the population.
A 331 FICO score means in plain english---You have horrible credit. You can`t even get bubblegum on credit :P
T score was originally given to a type of normalized score based on a group of unselected pre-adolescents. Notwithstanding, it has come to refer to any normally distributed standard scores that has a mean of 50 and a standard deviation of 10. L F C
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
Because t-score isn't as accurate as z-score, you should use 40 as a safety sample size, rather than 30 as you would for a z-score.
Mike=M Tom=T M=5+2T T+M=65 M=65-T 65-T=5+2T 65=5+3T 60=3T 20=T (Tom is 20 years old) T+M=65 20+M=65 M=45 (Mike is 45 years old)
T-scores and z-scores measure the deviation from normal. The normal for T-score is 50 with standard deviation of 10. if the score on t-score is more than 50, it means that the person scored above normal (average), and vise versa. The normal for Z-score is 0. If Z-score is above 0, then it means that person scored above normal (average), and vise versa.