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COMM 2001_Nov11.docx

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Department
Communication Studies
Course
COMM 2002
Professor
All Professors
Semester
Fall

Description
COMM 2001: October 11 th *MOCK EXAM FOR THIS COURSE THROUGH PASS* PASS is at: Monday 10am to 1130am & Tuesday 12:30am-2pm Email: [email protected] Expected Values= (Row Total x Column Total)/ Sample Size Review: Nominal Data When talking about correlation… 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. When looking at Cramers V Value… 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%. Ordinal Level Data  Logic=Proportional Reduction of Error (PRE) 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  Indicates direction and strength  *We need to understand what direction the scale is going. Strength of Correlation of Variables: (Error knowing Not Knowing
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