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Old 08-05-2012
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Default They have committed which of the following?

A group of researchers mistakenly conclude from a poorly designed experiment that acetaminophen cures the
common cold. They have committed which of the following?


A. 1-β error

B. Alpha error

C. Beta error

D. Type I error

E. Type II error
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  #2  
Old 08-05-2012
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Quote:
Originally Posted by Novobiocin View Post
A group of researchers mistakenly conclude from a poorly designed experiment that acetaminophen cures the
common cold. They have committed which of the following?


A. 1-β error

B. Alpha error

C. Beta error

D. Type I error

E. Type II error
its a type I error i think.....but what is diff between type I and alpha error ????
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Old 08-05-2012
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Quote:
Originally Posted by Novobiocin View Post
A group of researchers mistakenly conclude from a poorly designed experiment that acetaminophen cures the
common cold. They have committed which of the following?


A. 1-β error

B. Alpha error

C. Beta error

D. Type I error

E. Type II error

Arent alpha and type 1 error the same?!
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Old 08-05-2012
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Explanation:

The correct answer is D. Type I errors occur when researchers reject the null hypothesis when they should not
have. In other words, they conclude a significant result when in actuality it does not exist. This is a particularly
dangerous error to make, as it could lead to the administration of an ineffective drug to patients in need of
life-preserving treatment.

The term "1-β error" (choice A) is not used, but 1-β does correspond to a meaningful value. It
reflects the power of a study, which equals the probability of rejecting the null hypothesis when it is false, or in
other words, the probability of discovering a true relationship (e.g., concluding that acetaminophen has
antipyretic action).

The term "alpha error" (choice B) is not used, but alpha values do correspond to a meaningful concept. Alpha
is the probability of committing a type I error
( convicting an innocent man). Alpha corresponds to the p value (< .05)
commonly used in statistical analysis.

The term "beta error" (choice C) is not used, but beta values do correspond to a meaningful concept. Beta is
the probability of committing a type II error( setting a guilty man free).
Type II errors (choice E) occur when researchers accept the null hypothesis when it is false, thereby failing to detect a true relationship (e.g., concluding that acetaminophen has no antipyretic action).

A good mnemonic for distinguishing type I and type II errors is: Type I kills everyone. Type II makes professors
blue
(because they can't publish their statistically insignificant results).

Last edited by Novobiocin; 08-05-2012 at 01:42 PM.
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K06100 (08-05-2012), rocketprinciple (08-06-2012)



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