Discuss one-sample test of hypothesis. Include an explanation of the following:

Question

Discuss one-sample test of hypothesis. Include an explanation of the following:

1. In hypothesis testing when is a two-tail test used in lieu of a one-tail test and why?

2. What is the distinction between a Type 1 error and a Type 2 error?

This was my answer can you tell me what I'm missing or what else you suggest I should have also written

1. In hypothesis testing when is a two-tail test used in lieu of a one-tail test and why?

A two-tailed test allots half of your alpha to testing the statistical significance in one direction and half of your alpha to testing statistical significance in the other direction. When using a one-tailed test, you are testing for the possibility of the relationship in one direction and completely disregarding the possibility of a relationship in the other direction.

2. What is the distinction between a Type 1 error and a Type 2 error?

The first kind of error that is possible involves the rejection of a null hypothesis that is actually true. This kind of error is called a type I error, and is sometimes called an error of the first kind. Type I errors are equivalent to false positives.

The other kind of error that is possible occurs when we do not reject a null hypothesis that is false. This sort of error is called a type II error, and is also referred to as an error of the second kind. Type II errors are equivalent to false negatives.

Source= http://statistics.about.com/od/Inferential-Statistics/a/Type-I-And-Type-II-Errors.htm

Explanation / Answer

1.

In addtion to your answer of first question you should add following also:

Two tailed test will be used if we do not want to miss the consequences of an effect in the any direction. For exampe suppose reasecher have developed a new drug and he believes that it is an improvement over an existing drug. He wish to maximize the ability to detect the improvement, so he opt for a one-tailed test (right tailed test). In doing so, he fail to test for the possibility that the new drug is less effective than the existing drug. That is two tailed test is more appropriate then one tailed test.

2.

Secodn seems to be good...

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