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A two-tailed hypothesis test is a statistical method used to determine if there is a significant difference between a sample mean and a population mean, or between two sample means, in either direction. It tests the null hypothesis against the alternative hypothesis, which posits that the true parameter is not equal to the hypothesized value. This type of test considers both tails of the distribution, allowing for the possibility of finding evidence for differences that could occur in either direction. It is commonly employed when researchers are open to the possibility of an effect in either direction.
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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.
When to apply two tailed test in testing hypothesis?
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
What are the critical z-values for a two-tailed hypothesis test if the significant level 0.01?
+2.58
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.
What two critical values of t from the t-distribution would you use to have 99 percent probability -area- for accepting the null hypothesis if you had df8?
91
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 advantage of a one-tailed test?
A one tailed test allows you to test a one-sided hypothesis.
When to apply two tailed test in testing hypothesis?
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
What are the critical z-values for a two-tailed hypothesis test if the significant level 0.01?
+2.58
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.
What two critical values of t from the t-distribution would you use to have 99 percent probability -area- for accepting the null hypothesis if you had df8?
91
What are the critical z-values ofr a two-tailed hypothesis test if the significant level equals 0.01?
2.58
Is the hypothesis that men and women use the Internet approximately the same number of hours per week a one-tailed test or a two-tailed test?
Two-tailed test Hi: µM-µF = 0 Because if it turns out that Hi: µM-µF ≠0, the difference may be greater or smaller
Is a Two tailed test upper or lower tailed?
A two-tailed test is both, upper and lower tailed!
Why is a two-tailed test preferred over a one-tailed test?
In general, it is not. A one-tailed test is more powerful but it does require the alternative hypothesis to be one sided and, in therefore requires some expectation about the observations if the null hypothesis is not true.The question, therefore, is appropriate only when the experimenter has extremely limited information about the experiment - not a very common occurrence.In general, it is not. A one-tailed test is more powerful but it does require the alternative hypothesis to be one sided and, in therefore requires some expectation about the observations if the null hypothesis is not true.The question, therefore, is appropriate only when the experimenter has extremely limited information about the experiment - not a very common occurrence.In general, it is not. A one-tailed test is more powerful but it does require the alternative hypothesis to be one sided and, in therefore requires some expectation about the observations if the null hypothesis is not true.The question, therefore, is appropriate only when the experimenter has extremely limited information about the experiment - not a very common occurrence.In general, it is not. A one-tailed test is more powerful but it does require the alternative hypothesis to be one sided and, in therefore requires some expectation about the observations if the null hypothesis is not true.The question, therefore, is appropriate only when the experimenter has extremely limited information about the experiment - not a very common occurrence.
What is the difference between one-tailed and two-tailed test?
no tail
What is a 0.1 for a two-tailed test?
Alpha or significance level is usually 0.1 or 0.05 for a 2-tailed test.
