Results ANOVA ANOVA - Braking Neighborhood Condition Neighborhood * Condition Residuals [3] Sum of Squares df Mean Square 0.125 1 0.125 50.000 1 50.000 55.125 1 55.125 70.750 28 2.527 F 0.0495 19.7880 21.8163 Р n'p 0.826 0.002 <.001 0.414 <.001 0.438
Strayer and colleagues have conducted many studies on the effects of cell phones on driver safety. In a typical study, participants are asked to drive through a neighbourhood in a driving simulator. Occasionally, and obstacle appears (a dog runs into the road, an area is closed off for construction, a traffic light suddenly turns red) and they measure the time required to brake (in seconds). In one study, 32 participants were randomly assigned to drive the route either in silence, or while talking to a confederate on a hands-free cell phone. Half the participants drove through a “novel” neighbourhood they had never seen before, and half drove through a simulation of their own neighbourhood. The JAMOVI analyses of this study are attached.
Which of the following is a correct description of the interaction (select all that apply)? in the second image
Two-factor ANOVA is used to interpret the significant difference in the neighborhood and conditions
Neighborhood | |
1 | Familiar |
2 | Novel |
Conditions | |
1 | Phone |
2 | Silence |
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