Scenario: A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: How many levels does the factor "sports" have? Group of answer choices 0 1 2 3 Scenario: A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: Which of the following best describes the scenario? Between-subjects Within-subjects Mixed design Scenario: Researchers were interested in how social situations can influence stress-induced eating. They grouped participants according to self-reported stress-induced eating habits: consistently eating more (hyperphagics) or eating less (hypophagics) when stressed. Each participant was then exposed to one of three social situations: (1) a social inclusion condition, where subjects were told that a confederate partner had approved of a video they had made answering some questions and was looking forward to meeting them, (2) a neutral condition, where they were told their partners could not meet them because their partners had to cancel their participation, or (3) a social exclusion condition, where they were told that their partner had decided not to meet them after viewing their video. Subjects were then given an ice cream taste test and the amount of ice cream consumed was measured. Question: What is the most appropriate statistical test to conduct given this scenario? Randomized ANOVA Repeated measures ANOVA Two-way (randomized) ANOVA Two-way Repeated Measures ANOVA Mixed Design ANOVA