Unfortunately, it seems to me that textbooks are drifting all over the place on 
this issue. 

Our currently selected textbook for statistics uses "retain the null 
hypothesis" in the case where it is not rejected. I've decided not to argue 
with the textbook, because I feel I have bigger fish to fry in the class, but 
it bugs me every time I say it. Occasionally students who have taken a previous 
stats class asks about the difference in terminology and I give a long-winded 
explanation that probably resembles Sex Roles' editorial about the use of 
gender versus sex.

If I recall correctly I think there are some texts that use "accept the null 
hypothesis" now... <sigh>

Paul

On Jun 16, 2011, at 3:18 PM, Marc Carter wrote:

>  
> 
> I teach my students there are two possible outcomes to a null hypothesis 
> test: reject or fail to reject. 
>  
> That said, if you have power in the area of .99, then you might have good 
> reason to believe the null is true.  But you still don't "accept" it.
>  
> Bayesians, as I am learning, might have a whole different take on it, 
> though...
>  
> m
>  
> --
> Marc Carter, PhD
> Associate Professor and Chair
> Department of Behavioral and Health Sciences
> College of Arts & Sciences
> Baker University
> --
> 
>  
> 
> From: michael sylvester [mailto:[email protected]] 
> Sent: Thursday, June 16, 2011 1:42 PM
> To: Teaching in the Psychological Sciences (TIPS)
> Subject: [tips] Null hypothesis
> 
>  
> 
> True or False One never accepts the Null hypothesis but only fails  to reject 
> the Null hypothesis.
>  
> Michael
> 
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