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Mann Whitney U Test is part of non parametric statistical test that aims to determine whether there is a difference in the average group with independent samples....

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The use of chi square test to analyze data has several requirements that must be fulfilled, among others:

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Heteroscedasticity test is part of the classical assumption test in the regression model. To detect the presence or absence of heteroskedastisitas in a data, can be done in several ways, one of them is by looking at the scatterplot graph on SPSS output...

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Spearman Rank Correlation test aims to examine the relationship between two variables berdata ordinal....

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Multiple linear regression analysis to determine the effect of independent variables (there are more than one) to the dependent variable. To test multiple linear regression first necessary to test the classical assumption includes normality test, multicollinearity, and heteroscedasticity test. Classical assumption does this because independent variables studied amounted to more than one

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Regression analysis to determine the effect between the variables studied. Variables that affect so called independent variables, while the variable that is affected is called the dependent variable. The independent variable is marked with the letter X, while the dependent variable is marked with the letter Y

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Correlation test used to determine the level of the relationship between the study variables. Pearson Product Moment Correlation suitable for research data in the form of a ratio. Pearson Product Moment correlation test can produce a correlation coefficient that shows: the relationship, the degree of relationship, and the direction of the relationship (positive or negative).

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Basic Decision Making in Paired Sample t Test

If the value of Sig. (2-tailed) < 0.05, then there is a significant difference.

If the value of Sig. (2-tailed) > 0.05, there is no significant difference.

If the value of Sig. (2-tailed) < 0.05, then there is a significant difference.

If the value of Sig. (2-tailed) > 0.05, there is no significant difference.

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