Lisa’s  Test                                                David’s Test   Lisa’s Score: 88                                     David’s Score: 90 Class Average: 76                               Class Average: 85 Standard Deviation: 4                  Standard Deviation: 2   Convert David’s score into a score on Lisa’s test: 

The key difference between an experiment and a correlation is

For the following scores, the Sum of Squares (SS) equals

What is the value of ΣX2 for the scores 2, 5, 5, 3?

The personality trait of “Conscientiousness” (someone who is organized, responsible, and can control their impulses) has μ = 120 and σ =9. Test whether ARC students (n = 9, M = 126) differ on Conscientiousness. α = .05. The Critical z score boundaries =  

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 = 45, SS = 6000) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. What is the correct result based on the data?

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 = 45, SS = 6000) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. Based on this data, we could be making a  ____ error.  Based on this data, we should conclude that ARC students ______ from the average YouTube user. 

The critical boundaries for a hypothesis test are z = +1.96 and -1.96. If the z-score for the sample mean is zM = +2.20, what is the correct statistical decision?

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 = 45, SS = 6000) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. What is the alternative hypothesis (H1)

A researcher is interested in understanding the smartphone habits of college students in the US. To answer this question, the researcher conducts an online survey of 1000 randomly selected college students from California. 77% of these students reported using their smartphones as soon as they wake up in the morning. In this example, the percentage of college students who use their smartphones as soon as they wake up in the morning is likely to differ between college students in the US versus the randomly selected college students in California.  This difference is an example of _________.