Test Analysis Using One-Way ANOVA (Coursework Sample)
One-way ANOVA is a statistical test used to compare various group means that a researcher is interested in and determines whether the group means are significantly different. This test makes use of multiple assumptions to ascertain that the test being conducted is suitable for analysis using one-way ANOVA.
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Case Assignment
One-way ANOVA is a statistical test used to compare various group means that a researcher is interested in and determines whether the group means are significantly different. This test makes use of multiple assumptions to ascertain that the test being conducted is suitable for analysis using one-way ANOVA. Furthermore, it is essential in ensuring that the results are valid together with the interpretation derived from the data. The current analysis involves one-way ANOVA with a Post-hoc test where Total Self Esteem (tslfest) is used as the dependent variable while marital status (marital) is the independent variable.
Means and Standard Deviation
Descriptive statistics are helpful when conducting ANOVA tests in that they are used in the calculation of the p-values and the confidence interval of the data. Furthermore, they are useful in providing the description of the data as one is able to identify the group which has either the highest or the lowest mean and standard deviation (Cannon et al., 2019). The mean and standard deviation recorded is also helpful in this analysis as it provides room for comparing various groups in the data. Table 1 below shows
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