# Simple ANOVA

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The simple ANOVA can be used to compare the exam scores of nursing students in different colleges in the state of Ohio. Since there are three grouping factors in simple ANOVA, there will be three in this statistical test. The participants in this study will be graduated nursing students from three colleges in the state of Ohio. Mount Carmel College graduates represent group one, Ohio State University graduates represent group two, and Kent State University graduates represents group three. The simple ANOVA in this statistical test will test for board exam scores of nursing students. The scores will be compared to see if there is an overall difference between the three colleges. The null hypothesis is that there is no difference among the means of the three different groups. The research hypothesis, in turn, will be that there is a difference between the scores. It is important to set a level of risk before calculating. The obtained values will then be compared to the critical values. If the obtained value is higher than the critical value, the research hypothesis is acceptable. In conclusion, the simple ANOVA is beneficial in conducting research with college graduates and comparing their exam

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The factorial ANOVA can be called the two-way analysis of variance It is used when there is more than one factor. This type of ANOVA contains three grouping factors and two factors. With the factorial ANOVA, there are six possibilities that can result. With the factorial ANOVA, the participants are only tested once. The factorial ANOVA can highlight that there is a difference between the factors or the main effect. The SPSS (Statistical Package for the Social Sciences) on computer software can compute the data and determine if there is a main effect. Along with identifying if there is a main effect, we can also determine if there is an interaction between the