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What is an alpha error?

Updated: 10/17/2022
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Bobo192

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8y ago

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

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Q: What is an alpha error?
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Related questions

Changing the alpha level to .05 from .01 what does it do to the risk of Type 1 error?

This will reduce the type 1 error. Since type 1 error is rejecting the null hypothesis when it is true, decreasing alpha (or p value) decreases the risk of rejecting the null hypothesis.


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What is a Alpha Value?

The level of significance; that is the probability that a statistical test will give a false positive error.


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.


What combination of factors will increase the chances of rejecting the null hypothesis?

a small standard error and a large alpha level


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!


How do sample size selection of alpha level and precision of measurement affect the type II error rate?

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What is alpha in mathematics?

It is the first letter of the Greek alphabet which can be used, in geometry or algebra, to represent angles. In probability it can be used to represent a Type I error.


Relationship between type 1 error and type 2 error?

In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.


Who is the brother fraternity of alpha kappa alpha?

Alpha Phi Alpha


How do you program a Ti-84 Plus calculator to replace error with epic failure?

First, you pick 2nd. then pick alpha. You can now type in EPIC FAILURE OR ANYTHINg else.


Who are the sisters of alpha phi alpha fraternity?

Alpha Kappa Alpha Sorority, Inc.