It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.
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.
The term Z-test is often used to refer specifically to the one-sample location test comparing the mean of a set of measurements to a given constant.
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Average of three test scores is 84 can be written (x+y+z)/3=84. If you know two of the scores then (79+93+z)/3=84, so to solve for z, 79+93+z=84*3 z=252-79-93 z=80 The first test score was 80
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No, the Z-test is not the same as a Z-score. The Z-test is where you take the Z-score and compare it to a critical value to determine if the null hypothesis will be rejected or fail to be rejected.
no t test is similar to z test because t test ie used for unknown observation and z is for the medicne
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no
The Z-score is just the score. The Z-test uses the Z-score to compare to the critical value. That is then used to establish if the null hypothesis is refused.
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If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean. Z Score = (Raw Score - Mean Score) / Standard Deviation
It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.