Ponzo Illusion Essay

In this experiment, four classes were used. Each of the class was randomly put one of four gender conditions: MM, MF, FM, and FF. MM stands for Male subjects’ respond to a Male reporter, MF stands for Male subjects’ respond to a Female reporter, FM stands for Female subjects’ respond to a Male reporter, and FF stands for Females respond to a Female reporter. In each class, I had a male or female stand up to report on what they saw on either the Rabbit-Duck image or Ponzo Illusion. I hypothesized if a group is shown an ambiguous image and a random group member is asked what he or she perceived, then the rest of the group will conform to what the selected member said based on gender. Each subject filled out a demographic survey, answer what they

I would like to first thank Pamela Washington because she is the statistician who did all the math to strengthen my conclusion. To statistically prove that the conformity rate between males and females are influence by gender, a nonparametric was used for the following reasons: The assumptions of a parametric test, primarily the assumptions of having a scale dependent variable, were not met, and there are two nominal dependent variables (gender and conformity). For these reasons, the Chi-Square Test for independence was chosen for this research. The Chi-Square statistics are shown: X2(3, N = 60) = 10.543, p < 0.05. Reject the null hypotheses; it appears that conformity rates between males and females are influenced by gender. This means that the Chi-Square Test proves that gender does influence the rate of conformity between males and females. This strengthens the case of the gender condition FM that females do conform less to males. The Chi-Square statistics are statistical significance because it shows that the experimental results have a less than five percent chance of ever getting the same results by chance. With the Chi-Square Test, the conclusion that females are less likely to conform to males is statistical