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You select the alpha level based on a number of factors. One consideration is the variability of the characteristic which you are trying to measure. Another, very important criterion is the importance of the decision to be made. If the consequences of the wrong decision are dire then you want a very high alpha, otherwise you may prefer a lower alpha.

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Q: How do I set alpha in statistics?
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What does alpha in statistics determines?

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What is an alpha error?

An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.


How can you explain the significance level of at statistics?

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If we reject the null hypothesis what can we conclude about the alpha risk?

If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.


Set of numerical data?

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Where did the movie Alpha Dog take place?

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What number is significant for a z-score in statistics?

It depends on where you have set your alpha. To be significant at an alpha of .05 (typical), the z-score must exceed 1.96. Here, we are accepting a 5% error rate. To be significant at an alpha of .01 (more stringent/restrictive/conservative), the z-score must exceed 2.58. At an alpha of .01, you are only accepting a 1% error rate. If you are doing multiple tests of significance, you'll likely want to use this more conservative alpha (or do a "Bonferroni correction," dividing .05 by the actual number of significance tests you perform). Hope this helps!


What and who determines the alpha level in statistics?

Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.


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