This preview shows page 1. Sign up to view the full content.
Unformatted text preview: the other half distributed on the other side (). With an los of 0.05 we know that some of the data is going to be beyond 95% of the data (with a level of significance of 0.05 or 5%). So we test one of the 30+ samples (in our example) to see if it is within 95% of the range of the distribution. If it is within that 95% then we accept the null, if outside that range, we reject the null. What we have not totally covered is the decision rule (DR). The DR is always based on the critical value (the point where the null is rejected), and this critical value is related to the level of significance we choose. All of this discussion here may still leave you with some uncertainty, so I encourage you to return to the ebook and slowly "walk through" the assigned Chapter 9 readings. The visuals of the distribution curve and the critical value points may help....
View
Full
Document
This note was uploaded on 10/10/2010 for the course STATS Stats301 taught by Professor Regis during the Spring '10 term at DeVry Irvine.
 Spring '10
 Regis
 Statistics, Correlation

Click to edit the document details