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When the alternative hypothesis is non-directional, we use a two-tailed test.

Example:

H0: mean = 50

Ha : mean not equal to 50

Here is a directional hypothesis that would use a one-tailed test.

H0: mean = 40

Ha : mean > 40

or

H0: mean = 40

Ha: mean < 40

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Q: When to apply two tailed test in testing hypothesis?
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Related questions

What is the advantage of a one-tailed test?

A one tailed test allows you to test a one-sided hypothesis.


How do you decide whether to use a z test or a t test when testing a hypothesis about a population mean?

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


What is the meaning of hypothesis in statistics?

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 advantages of One-tailed and two-tailed test?

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.


What is the difference between t test and z test in hypothesis testing?

It depends on the population.Use t-test for a small population, N < 30; otherwiase, apply z-test or when N>=30.


Is the purpose of an experiment to test the hypothesis?

Only if you are testing a hypothesis through a specific relevant experiment.


Testing of Hypothesis?

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.


What are the critical z-values for a two-tailed hypothesis test if the significant level 0.01?

+2.58


What is a test of hypothesis called?

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.


Why is it important to develop a scientific hypothesis that is testable?

It is important to be able to test the hypothesis because testing your hypothesis is how you prove or disprove your theories. If it is disproved then you can change your hypothesis.


What is test validity?

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.


what are the benefits of a two tailed test?

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.