








USMLE Step 2 CK Forum USMLE Step 2 CK Discussion Forum: Let's talk about anything related to USMLE Step 2 CK exam 

Thread Tools  Search this Thread  Display Modes 
#1




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. 1β error B. Alpha error C. Beta error D. Type I error E. Type II error 
#2




its a type I error i think.....but what is diff between type I and alpha error ????
__________________
Try Not To Become A Man Of Success But A Man Of Value. 
#3




Quote:
Arent alpha and type 1 error the same?! 


#4




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 lifepreserving treatment. The term "1β error" (choice A) is not used, but 1β 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; 08052012 at 01:42 PM. 
The above post was thanked by:  
K06100 (08052012), rocketprinciple (08062012) 
Thread Tools  Search this Thread 
Display Modes  

Similar Threads  
Thread  Thread Starter  Forum  Replies  Last Post 
infant mortality rate  Novobiocin  USMLE Step 2 CK Forum  3  08082012 12:09 AM 
mortality benefits in CHF/STEMI  iron  USMLE Step 2 CK Forum  3  09242011 08:44 AM 
suicidal rate closer to the general population rate  INCOGNITO  USMLE Step 1 Forum  9  07222011 11:19 AM 
Lowering the mortality of COPD  aghammoud85  USMLE Step 2 CK Forum  6  06152011 12:40 AM 
Allcause mortality rate, prevalence and case fatality rate question!  Claus_CU  USMLE Step 1 Forum  5  05252011 06:38 PM 
