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Old 02-04-2012
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Stats Study was wrong; What type of error?

A drug company publishes an original study stating that Drug X does not cause birth defects in pregnant women. Later, it is discovered that Drug X does actually cause birth defects. The original study most likely contained which type of error?
A. Type I error
B. Type II error
C. (1 beta) error
D. Delta error
E. Kappa error
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Old 02-04-2012
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Ans .........B ...........
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  #3  
Old 02-04-2012
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The drug doesnt cause error...means null hypothesis was rejected.but later in the course was found that it does cause the disease so its type 1 error.
if the null hypotheses is not rejected,and the dtug work wen it was thought previously that it wont work...is type 2 error.
P value indiactes type 1 but cant give any indication abt type 2..
P value of .o5 means there is a chance of 5% error in the interpretation orvthe study results.
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Old 02-04-2012
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the third option has a misprint it shlould be (1-Beta),as type II and beta error are the same which makes option B and C same .

my ans is type II beta error
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Old 02-04-2012
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Its a type 2 error...B
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Old 02-04-2012
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BETA ERROR

giving a false negative result
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Old 02-06-2012
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Choice (B) is the answer.
Type II or beta error results from failure to reject the null hypothesis when the null hypothesis is actually false. In other words, the null hypothesis is accepted for reality when indeed the null hypothesis is incorrect. The null hypothesis is the hypothesis that states there is no association between a risk factor and a particular disease or condition. In the drug company study, the null hypothesis states that there is no association between Drug X and birth defects in pregnant women. The alternative hypothesis states that there is an association between Drug X and birth defects. As stated above, type II error involves the failure to reject the null hypothesis when the null hypothesis is false. Failure to reject is the same as accepting: the null hypothesis is accepted although it is false. In other words, the hypothesis that Drug A does not cause birth defects is accepted even though in reality Drug A does cause birth defects. Type I error (Choice A) is known as alpha error and results from rejecting the null hypothesis when it is actually true. Rejecting the null hypothesis is same as accepting the alternative hypothesis. Concluding that Drug X is not safe when it really is would be considered type I error. (1 - beta) (Choice C) is known as power. Delta error (Choice D) and kappa error (Choice E) are distractor
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