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What is Type I Error - a false-positive error?

Updated: 12/17/2022
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RobertHuntergp2893

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9y ago

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Rejecting a true null hypothesis.

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Q: What is Type I Error - a false-positive error?
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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.


What is error of trial balance?

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What type of errors we have in Java programming?

syntax error, Runtime error, Longic error


What happens to the confidence interval if you increase the margin of error?

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What type of error provides an incorrect result but is not a syntax or run time error?

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What type of procedural error often involves and error in logic?

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