ANOVA statistics - 550 Words

ANOVA statistics (Term Paper Sample) Content: ANOVA Name Institution Analyzing with ANOVA The source of questions for the assignment is the ANOVA source table. The contents of the table comprise a two à ¢Ã¢â€š ¬Ã¢â‚¬Å"way ANOVA where gender is grouped into two classes (female and male), marital status is grouped into three classes (divorced, married, single never married), and happiness scores (n=100). From the provided data, both dependent and independent variables can be identified. Both the null and alternate hypotheses will be formulated from the research question. The necessary calculations from the data include the degrees of freedom for gender, marital status, the interaction between marital status and gender, and the error. Other calculations are the F ratios and the critical Fs for the named variables. Conclusively, there is need to explain how the situation will be if alpha is set at 0.05. ANOVA table The sum of squares is the total sum of the squares of each and every raw data. The degree of freedom is N-1 (100-1). The mean square is the sum of squares divided by degrees of freedom. Source Sum of Squares (degrees of freedom [df]) Mean Square Fobt. Fcrit. Gender 68.15 99 0.688 1.392 1.392 Marital Status 127.37 99 1.287 1.392 1.392 Gender * Marital Status (A x B) 41.90 99 0.423 1.392 1.392 Error (Within) 864.82 99 8.736 NA NA Total 1102.24 99 NA NA NA From the table, two classes of variables are determinable. Independent variables include: * Gender (male and female) The independent variables are the input variables of the study or the variables that can be controlled to determine the authenticity of the hypothesis. Independent variable (s) * Marital status (married, single never married, and divorced). * Happiness index Gender is the independent variable because it is the determinant of the marital status of an individual (dependent variable). It therefore determines the rate of getting married and the happiness index that accompanies it. The dependent variables form the output of the test. They cannot be controlled and but can be observed. Null hypothesis: Gender and marital status of an individual are not related. The hypothesis is the opposite of the expectations of the study. The calculations will form a platform where the null hypothesis will either be rejected or accept...