Class Notes (838,076)
Canada (510,662)
COMM 2002 (65)
Lecture

Semester 1 - Nov 25, 2014 - Statistical Significance.docx

3 Pages
78 Views
Unlock Document

Department
Communication Studies
Course
COMM 2002
Professor
Heather Pyman
Semester
Fall

Description
November 25, 2013 Statistical Significance  Regression “best fit” line • Y= a + bx (smallest total distance of all data points in the distribution line) • B=slope (unit increases in y associated with 1 unit increase in x) • Direction (positive or negative) • R value (strength – how close are all the points in the distribution to the line) Pearson’s R • Called the “least squares” measure because it asks whether the squared distances from the regression line are less than the squared differences from the mean • R= explained variance (total variance – unexplained variance) total variance • (distance of values from the mean = total variance) • (distance of values from the regression line = unexplained variance) • r=strength of two interval level variables • R2- how much variation in “y” is explained by “x” Statistical significance • Allows us to estimate how close our sample statistics are to the actual population values • Uses what we know about the normal curve -68% of all cases fall btw. + - 1 SD -95% of all cases fall btw. +- 2 SD -99% of all cases fall btw. +- 3 SD …And what we know about a sampling distribution • Repeated drawing of samples would produce a normal curve of samples • This distribution would have a mean and a standard deviation o Grand Mean o Standard Error Sampling distribution example • Population of 4 ages = 15, 17, 18, 22 • Mean of the popula
More Less

Related notes for COMM 2002

Log In


OR

Join OneClass

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

Sign up

Join to view


OR

By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.


Submit