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Chi square is used to test __________________ dependent variables. 

[Example continued…] The personality trait of “Conscientiousness” (someone who is organized, responsible, and can control their impulses) has μ = 110 and σ = 10. Test whether ARC students (n = 25, M = 117) differ on Conscientiousness. α = .05. Do ARC students differ on “Conscientiousness”?

[example continued…] A normal distribution has μ = 11 and σ = 2. What is the probability of a score less than 7 from this distribution, p(X < 7)?

[example continued…] Does training in meditation make a difference for student success?  10 students received training (M1= 88, SS1= 240) and 5 students did not (M2= 82, SS2= 150). Test using α = .05   s(M1-M2) = 

Assume a normal distribution. What is p(z < +2.50)?

Assume a normal distribution. What is p(z > +2.50)?

The average YouTube user spends 40 minutes per session, using YouTube (μ = 40), and σ is unknown. Test whether ARC students who are YouTube users (n = 16, M = 38, SS = 960) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. What is the alternative hypothesis (H1)

[example continued…] Below is data for two variables, X and Y.  Answer the questions that follow.  X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 2 -2 -1 4 1 2 4 2 -1 -1 1 1 ___ 6 4 1 ___ 1 1 1 7 4 2 1 ___ 1 2   Positive or negative correlation?

[example continued…] Below is data for two variables, X and Y.  Answer the questions that follow.  X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 2 -2 -1 4 1 2 4 2 -1 -1 1 1 ___ 6 4 1 ___ 1 1 1 7 4 2 1 ___ 1 2   SP = ____

[example continued…] Scenario: I’m interested in whether there is a relationship between Team (A vs. B) and Outcome (Good vs. Bad). Below are the data.  Test the null hypothesis that the categories are independent.  α= .05. Team A Team B Good Outcome fo = 116 fe = fo = 84 fe = Bad Outcome fo = 64 fe = fo = 36 fe =   degrees of freedom, df = ______, and the Chi Square critical boundary = ______