Is The Statistical Difference In Means Of The Congucent And Incongruent Scores?

Decent Essays
Based on the frequency table, 107 of the sample were ages from 20-30 years old (56% of sample), 98 had some college education (52% of sample), that could be due to students conducting participants from a convenience sample at CSFU. A paired sample t- test was conducted to compare the means of the congruent and incongruent scores to determine whether there was a statistical difference. We found that reaction times differed significantly between conditions, such that the congruent condition was the fastest (M = 988.710,SD=344.660) and the incongruent condition was the slowest (M=1216.994, SD=432.907). A T-test was used to see the statistical difference between females and males. For the congruent (Males: M=972.02, Females: M=
…show more content…
moreover, for incongruent scores the “some college” group scored 1102.97, college grads 1253.03 milliseconds, high school grads 1306.03 milliseconds and lastly less than high school 1508,76 milliseconds. Although there is difference on scores and educational level, we didn’t see a difference in within the groups on reaction time. The group of “some college’ were faster in the congruent words by 203.9494 milliseconds, and the high school grads were faster by 234.5270 milliseconds, and the less than high school group by 263.2739 milliseconds, and the college grads by 265.2001 seconds when comparing it to incongruent words.
In this study, we first determined which variables affect Stroop performance, like age, gender or educational level. The first hypothesis was confirmed as the reaction times on the congruent trials were significantly quicker than on the incongruent trials. However, we excluded 19 participants from our original sample when interpreting our data, those 19 scores were not relevant to the experiment. As we ran our data on a t-sample test, a one-way ANOVA, we realized that the incongruent scores were better than the congruent scores. This was a researcher error since perhaps the data was not collected correctly. In the gender variable, we did not see a
    Get Access