For the following scenarios, indicate:

1. Which hypothesis test (z-test, one-sample t-test, correlation, chi square goodness of fit test, chi square test for independence) should be used to analyze the data obtained
2. Explain what characteristics of the data and/or research scenario informed your choice of analysis

a) A grocer wants to know if their customers prefer organic or regular produce. They record the total number of units sold for each type of produce (organic, regular) over the month of June.

b) Every year the Toronto Maple Leaf's coach surveys a sample of the team's players to determine how satisfied they were with the season's performance. The average satisfaction with performance for NHL players overall is = 15. Coach received 15 responses from his team this year, yielding M = 20, s = 1.25. Coach wants to know if his team rated their satisfaction with performance differently than the overall population of NHL players.

c) An undergraduate student notices that they seem to spend more money at Dollarama, regardless of if they need anything, when they spend more time browsing the aisles of the store. The student decides to track the amount of time they spend in store (in minutes) and the money spent over a period of 25 visits to Dollarama to determine if there is a relationship between how much time they spend in the store and how much money they spend.

d) A course instructor wanted to know if there was a relationship between being a psychology major and comfort level in statistics. She surveyed her class and recorded students' program of study (psychology, not psychology) and their self-reported level of comfort with statistics (comfortable, not comfortable).

e) An instructor wanted to know if completing weekly quizzes improved her students' grades compared to the grades of students in other sections who did not complete weekly quizzes. The average final grade for all other sections of the course was = 73.4. The average final grade for the instructor's course of 150 students was M = 78.3, s = 8.40.

f) A Netflix employee was interested in the impact of releasing new episodes of Netflix original content on consumers' sleeping habits. He surveyed a sample of 75 Netflix consumers and recorded the number of episodes they watched per day and the number of hours they slept at night to determine if the two were related.