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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.

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Q: When is a t test better than a z score?
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Related questions

What is safety t score?

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.


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.


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The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.


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 has the author T J Reddy written?

T. J. Reddy has written: 'Less than a score, but a point'


Is at and t better than sprint?

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What is the t test used for?

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.


Why would you use a t test rather than a z test?

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Why would you use a z test rather than a t test?

When the sample size is greater than 30


How is T-score related to stiffness index in bone mineral density test?

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Is a paired t-test more powerful than a a test between independent samples a A paired t- test is more powerful because it utilizes information b an independent sample t0-te?

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How do I tell if a T-test is significant with an alpha of 05 and if you already have significance values?

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.