ANOVA Inferential Statistics Services

ANOVA, or Analysis of Variance, is a statistical methodology commonly employed to compare the means of three or more groups or treatments. This inferential statistical approach helps determine whether there are significant differences between the means of the groups, making it a valuable tool in data analysis. At Blackboard Research Writing, we offer expert ANOVA inferential statistics services to DNP students. Get insights into your data using ANOVA conducted via SPSS.

On this webpage, we use data located here https://hcup-us.ahrq.gov/db/state/siddist/siddist_discharge.jsp [external site] to compare the number of discharges in 2019 in all states by region using an ANOVA. ANOVA was conducted to determine the difference in the number of discharges in 2019 based on states in the region. The ANOVA statistics are used to establish if the difference between two or more independent groups are statistically significant.

The assumptions in ANOVA are that the dependent variable should be a continuous variable (number of discharges in 2019), while the independent variable should be categorical data (states by region; Western, Mid-Western, Southern, and Northeastern). The assumptions were met. The findings revealed that there were no statistically significant differences in the number of discharges in 2019 among the states, F (3, 30) = 0.200, p = 0.895 (see Table 1). The assumption of homogeneity of variances, as revealed by the Levene test was met as the p > .05.

Table 1

Analysis of Variance for States in Regions and Discharges 2019

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