u09_a1 Statistics of Research Project

Research Project Statistical Information 3 Independent Samples Test Levine’s Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2- tailed) Mean Differenc e Std. Error Differenc e 95% Confidence Interval of the Difference Lower Upper Postsurvey Equal variances assumed 6.189 .089 -1.074 3 .361 -1.667 1.552 -6.604 3.271 Equal variances not assumed -1.387 2.000 .300 -1.667 1.202 -6.838 3.504 Presurvey Equal variances assumed 4.615 .121 -1.464 3 .239 -1.667 1.139 -5.290 1.957 Equal variances not assumed -1.890 2.000 .199 -1.667 .882 -5.461 2.128 Researchers have found that an independent t-test is useful in comparing the scores of two groups that are made up of the same participants (Salkind, 2017). The comparison is found to be helpful because it shows how the different conditions can affect each group in the experiment. Random sampling was used to assign each member into the control or treatment group using a randomized number list. This helps to increase the validity of the study to ensure it is more representative of the population. The demographics of the population used was all woman who are currently enrolled in an undergraduate program. The study showed that after listening to fast tempo music that one participant was more against vaccinations then when they took their post survey. This shows that the music had an opposite effect from what was expected in the hypothesis. The fast tempo music was supposed to decrease the amount of misinformation remembered after reading the slides, but for one participant it increased it. The scores of the presurvey control showed the participant to be in favor of vaccinations and after the treatment of music was administered with reading slides of myths versus facts the participant was more