answersLogoWhite

0

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.

User Avatar

Wiki User

15y ago

What else can I help you with?

Related Questions

What is the most difficult score in the nfl?

A safety


What is the difference between z-score and t-score?

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.


What does a T score in scrabble?

The letter T is worth 1 point.


Why use the T score?

T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.


How do you score a football game?

you get a touchdown. Or you get a field goal or a safety.


What is a set of twenty called?

A score


Why is t score equal to z score in a normal distribution?

Because as the sample size increases the Student's t-distribution approaches the standard normal.


What if the1st score in nfl playoffs overtime is a safety?

The game is over.


What increases the score in a football game?

touchdown, field goal, or safety


What were the Ford Model T safety features?

Safety was not a concern at that time. I can really think of no safety feature on the Model T Ford. Not one.


What do you do if none of the conditions of using a z-score or the conditions for using a t-score are met?

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.


What statistic is produced when the difference between a score and the mean is divided by the standard deviation?

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.