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.
t test, because the z test requires knowing the population standard deviation and that's rare. The t test embodies an estimate of the standard deviation.
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The Independent Samples T Test compares the mean scores of two groups on a given variable.
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
The answer depends on what is being tested: the t-test, F-test, Chi-square, Z-test are all commonly used with the Normal distribution. There are many others.
no t test is similar to z test because t test ie used for unknown observation and z is for the medicne
a t test is used inplace of a z-test when the population standard deviation is unknown.
t-test is the statistical test used to find the difference of mean between two groups
t test, because the z test requires knowing the population standard deviation and that's rare. The t test embodies an estimate of the standard deviation.
t-test
d
The Independent Samples T Test compares the mean scores of two groups on a given variable.
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
The CD4 T-cell count test measures the number of helper T cells in the bloodstream of patients with AIDS. This test is used to monitor the progression of HIV infection and to determine the need for starting or changing antiretroviral therapy.
There are four phonemes, or speech sounds, in the word test: t / e / s / t
The answer depends on what is being tested: the t-test, F-test, Chi-square, Z-test are all commonly used with the Normal distribution. There are many others.
Whereas a t-test is used for n30, where n=sample size. n < 30 or n > 30 is not entirely arbitrary; it is intended to indicate that n must be sufficiently large to use the normal distribution. In some cases, n must be greater than 50. Note, both the t-test and the z-test can only be used if the distribution from which the sample is being drawn is a normal distribution. A z-test can be used even if the distribution is not normal (but is not severely skewed) if n>30, in which case, we can safely assume that the distribution is normal.