Question

In order to better prepare for her 8:00am classes, a statistics professor designs an experiment to see how various strategies improve test scores. Additional weekly time studying, as well as having weekly additional one-on-one help have been associated with better performance in classes overall, but the professor wants to know what tactics might be most effective. She assigns half of her students attend an additional mandatory weekly office hour, and the other half of students to attend an additional mandatory weekly peer-tutoring session. In these groups, she assigns half of the class an additional hour of independent study, and the other half an additional hour of group-study in preparation for exams. She then measures exam performance on a test with scores ranging from 1-10. (50 points)

What kind of test would you need to run? What is the independent variable (or factor)? What is the dependent variable? What is the statistical notation (for some types of tests, this answer should include the post-hoc notations AS WELL as the overall statistical notation)? Is the test significant? How do you know? (for some types of tests, this answer should include the post-hoc significance AS WELL as the overall significance) What are the means that should be reported (If this is an ANOVA /factorial please include all means to be reported)? ) What is the complete interpretation (in order to receive full credit you need to include all statistical notation as well as an interpretation of what they mean in context)

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