You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
The choice of one-tailed or two-tailed tests follows the logic of the hypothesis that is being tested! The one-tailed test, if appropriate, will be more powerful.
It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.
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They are used to test hypothesis such as the mean is some value where you do not know if otherwise the mean is less or more.
A one tailed test allows you to test a one-sided hypothesis.
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
A hypothesis is the first step in running a statistical test (t-test, chi-square test, etc.) A NULL HYPOTHESIS is the probability that what you are testing does NOT occur. An ALTERNATIVE HYPOTHESIS is the probability that what you are testing DOES occur.
The choice of one-tailed or two-tailed tests follows the logic of the hypothesis that is being tested! The one-tailed test, if appropriate, will be more powerful.
It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.
A hypothesis is a proposed explanation which scientists test with the available scientific theories. There are four steps to testing a hypothesis; state the hypothesis, formulate an analysis plan, analyze sample data and interpret the results.
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A hypothesis is any idea used to explain and test a scientific idea. To find if it is true, you need to test it, which you do by running some testing, and it may then be proven.
They are used to test hypothesis such as the mean is some value where you do not know if otherwise the mean is less or more.
If you are testing a hypothesis, does the test have anything to do with the hypothesis. If I want to test something to do with gravity and I use a red object compared to a blue object that probably isn't valid.
Sorry but your question doesn't make sense... You have to know what the hypothesis is to test if your question is valid.
A test using relative errors comparing factors in a contingency table to determine if the factors are dependent; the null hypothesis is that the factors are independent.