COMM 2002 Lecture Notes - Decimal Mark, Dependent And Independent Variables

• School: Carleton University
• Department: Communication Studies
• Course: COMM 2002
• Professor: all

Document Summary

Pass is at: monday 10am to 1130am & tuesday 12:30am-2pm. Expected values= (row total x column total)/ sample size. If you get the value of one, it usually means you did something wrong as it is highly unlikely that any one behavior is perfectly correlated with another. That means that your graph would be perfectly linear and you could predict the dependent variable from the independent variable. If you have a value you need to move the decimal point to the left once and then you can figure out the percentage. An example would be if you had 0. 102 that would mean a low correlation as the percentage is actually just 10. 2%. Measure which tell us whether knowing the value of one variable reduces chance of making an error in predicting the value of the other (the dependent variable) Correlation value which varies between -1 and +1. *we need to understand what direction the scale is going.