Class Notes (836,992)
POL242Y1 (17)
Lecture

# Week 11.docx

3 Pages
64 Views

Department
Political Science
Course
POL242Y1
Professor
Anthony Sealey
Semester
Summer

Description
Week 11: POL 242 Review-Testing Hypotheses Testing Hypotheses Alternative Approach  Take a point estimate and then taking the point estimate into a standardized value. Keep your probabilbility value and take a point estimate into a standized value (for alternative value)  Compare prob. Values rather than T scores. (it makes more sense)  1.96 makes more sense than 0.04. Example: Suppose that you want to test the hypothesis that the proportion of the public who favors some public policy is not equal to 50%. You draw a sample of 1200 Canadians and find that 53.2% are in favor. Please test this hypothesis using the alternative approach. Solution: Compare TS and CV. Our P value is less than our alpha value. We reject our null hypothesis. Our substantive conclusion… Bi-variate Regression  We use our line of best fit to estimate the type of relationship.  Generally, we use the line that minimized the sume of the square of the residuals  What is a residual? Minimize the distance from the points to the line of best fit. Regression and Strength  We try to estimate the size of slope coefficient. Essentially, the slop coefficient, how much change is made to DV when change is made to IV.  Our estimated slope is very small, T value is small and P value is really large. Regression and inference  Can we generalize any possible relationship that we can find between IV and DV?  Can we infer that there is a true relationship between the population?  When T scores are small, (we are comparing T score and to standized value of 1.96 and - 1.96) . The T score is 8 which is far beyond the standized value of 1.96.  Therefore we reject hypothesized value.  Compare P value to alpha.  All we have to do is TO ALWAYS COMPARE P VALUE TO OUR ALPHA VALUE. This is much easier to determine whether to reject or accept our null hypothesis. The number -8.202 is much bigger than -0.5. Regression and goodness of fiti (besides looking at strength of relationship, we often have to look at the overall goodness of fit)  Estimated line of best fit.  How accurate is our explanation of the dependent
More Less

Related notes for POL242Y1
Me

OR

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Join to view

OR

By registering, I agree to the Terms and Privacy Policies
Just a few more details

So we can recommend you notes for your school.