[example continued…] Assume a normal distribution. For the following data: [µ = 120, σ = 25, n =25, M = 125], the probability of a sample mean greater than 125 p(M > 125) = _______..

[example continued…] Scenario: 100 people were asked, “Who is your favorite superhero?” Below are the data.  Test the null hypothesis that the population frequencies for each category are equal.  α= .05. Iron Man Black Panther Wonder Woman Spiderman fo = 20 fo = 30 fo =30 fo = 20 fe = fe = fe = fe = The correct APA format for the result would include

If a hypothesis test produces a z score in the critical region, what decision should be made?

[example continued…] Is there a difference among the 3 treatments in the table below?  Test using α = .05 Treatment A Treatment B Treatment C 0 2 4 ∑X2 = 114 0 3 2 G = 36 0 1 4 N = 18 3 3 3 k = 3 0 2 4 0 1 4 SS1 = 7.5 SS2 = 4 SS3 = 3.5 What is the value of the critical F boundary?   (from the tables)

[example continued…] Is there a difference among the 3 treatments in the table below?  Test using α = .05 Treatment A Treatment B Treatment C 0 2 4 ∑X2 = 114 0 3 2 G = 36 0 1 4 N = 18 3 3 3 k = 3 0 2 4 0 1 4 SS1 = 7.5 SS2 = 4 SS3 = 3.5   dfwn = ______   dfbn = ______

[example continued…] For the following data: [µ = 120, σ = 25, n = 25, M = 125],  zM = _______. [note: zM is the z score for the sample mean]

What is the correct conclusion based on the following one sample t test result [t(22) = 4.25, p < .05]

Assume a normal distribution. What is p(z < +2.25)?

Assume a normal distribution. What is p(0 < z < +2.25)?

[Example continued…] The average Instagram user spends 30 minutes per day using Instagram (μ = 30), and σ is unknown. Test whether ARC students who are Instagram users (n = 25, M = 24, SS = 2400) differ from the average Instagram user on number of minutes spent using Instagram per day. α = .05. t =     (test statistic)