Posted: May 22nd, 2023

The higher t-value will confirm the hypothesis that generosity

The dependent variable for this study is the psychological well-being of a person while the independent variable is the generosity exercise. A t-test will be implemented to see if there are statistically significant differences in the means of control and intervention groups. The higher t-value will confirm the hypothesis that generosity does contribute to the improvement of personal well-being. Additionally, based on the T-test we will be able to determine the p-value. P-value is crucial for this study since it enables us to assess the statistical significance of the study. If the value of P will not exceed 0.05, we will reject the null hypothesis and assume that there is a significant relationship between these variables. Once a statistically significant difference is established an analysis of the variance (ANOVA) will be performed. This method will allow us to see the causes of variance not only between but also within the groups. By employing this model one can understand what other factors, apart from generosity, can affect the well-being of a person. In this case, we can speak about such factors as age, gender, income level, education, etc. The results of ANOVA will show which of these factors has the strongest effect on the dependent variable.

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