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.
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
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.
When the sample size is greater than 30
a t test is used inplace of a z-test when the population standard deviation is unknown.
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.
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.
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
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.
T. J. Reddy has written: 'Less than a score, but a point'
The"t" test, (called the "small 't' test, to distinguish it from the large 'T' test) is a test for deviation from a known norm, using a smaller sample set than the one required by the large T test. It is said to have been developed by the head of quality control at the Guinness Brewery in Ireland.
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When the sample size is greater than 30
When the sample size is greater than 30
The T-score in bone mineral density testing compares an individual's bone density to that of a healthy young adult. Stiffness index, on the other hand, is a measure of bone material properties and geometric properties. While both can provide information about bone health, they assess different aspects of bone strength and integrity.
paired t-test is more powerful because it utilizes information
If you already have your p-value, compare it with 0.05. If the p-value is less than an alpha of 0.05, the t-test is significant. If it is above 0.05, the t-test is not significant.