This would lead to finally analyzing the hypothesis introduced in the previous section, one-way analysis of variance and two-way chi-square test was conducted respectively.

There is a dependence between the combined income and marital happiness level.There is a difference between the mean values of combined income per marital happiness levels.In this analysis of the data the two alternative hypothesis will be tested: Graphical images of box-plots helped show the spread and distribution of combined income per marital happiness. However, when does money no longer become an issue? Does the increase in combined family income affect the marital happiness levels? This analysis attempts to answer these questions.Д¬rosstabulation was conducted to get a descriptive exploration of the data. (1993) exerts that financial arguments are common between families. Factors for financial arguments could stem from: Goals and savings record keeping delaying tactics apparel cost-cutting strategies controlling expenditures financial statements do-it-yourself techniques and cost cutting techniques (Lawrence, Thomasson, Wozniak, & Prawitz, 1993). Mulligan (1973), was one of the first that stated arguments about money was one of the top reasons for divorce between couples. This, quantitative analysis on the sample data, has shown that when the happiness levels are low, there is a higher chance of lower levels of combined income. It was found that marital happiness levels are depended on a couplesвЂ™ combined income, but for the happiest couples, they were happy regardless how much money they had. This short analysis attempts to understand the marital happiness level on combined income.

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