Researchers wanted to know whether the number of individual present in a situation impacted the amount of time before individuals help someone in need. Participants in the study were placed in a room alone or with other “participants” (these individuals were not participants but confederates of the experimenter told not to respond). Outside of the testing room, an individual is on a ladder putting material up on a bulletin board. After the participant has entered the testing room and two minutes have passed, the bulletin board person “falls” outside the room (the ladder is knocked over in front of the door). The amount of time it takes the participant to get out of their chair to look outside the door to help is recorded. Participant were tested alone, with one other person, with two people, and with four people. Data are below:
Alone |
One |
Two |
Four |
12 16 28 45 23 14 8 15 33 25 28 58 22 |
23 21 53 23 34 32 14 23 42 32 21 42 21 |
34 45 63 32 34 57 53 34 12 34 64 23 22 |
24 66 75 43 84 35 67 32 43 66 43 54 34 |
What is your computed answer? (how do i find this- is it a T test or Anova?)
Probability level? Degrees of freedom?? TY
Here we use One way AVOVA. Since p-value<0.05 (here we take level of significance=0.05) so there is sufficient evidence to conclude that the number of individuals present in a situation impacted the amount of time before individuals help someone in need. Here df=degrees of freedom.
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