# Alpha numbers: This is some useful information that you provided for us. We can see that the most common alpha numbers are the 0.10, 0.05, and the 0.01, however I am interested in what will dictate the researcher to use an alpha number other than those three. The fact that it could be any number between 1 and zero leaves many possibilities.

4-I enjoyed reading your post, it reminds me of myself. Every time I think I am starting to understand a little, I read something else and feels like I start over. In statistics it seems that there are many things that we would have to master to be an effective researcher. Every week adds something new that we must learn before moving on. I will say, this has been one of my hardest classes so far.

5-This is some useful information that you provided for us. We can see that the most common alpha numbers are the 0.10, 0.05, and the 0.01, however I am interested in what will dictate the researcher to use an alpha number other than those three. The fact that it could be any number between 1 and zero leaves many possibilities.

6-The number represented by alpha is a probability, so it can take a value of any nonnegative real number less than one. Although in theory any number between 0 and 1 can be used for alpha, when it comes to statistical practice this is not the case (Johnson, 2013). Of all levels of significance the values of 0.10, 0.05 and 0.01 are the ones most commonly used for alpha. As we will see, there could be reasons for using values of alpha other than the most commonly used numbers (Johnson, 2013).

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