The Chi-Square Statistic formula is: Se with the degrees of freedom (df) = (R-1)(C-1) with R...

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The Chi-Square Statistic formula is: Se with the degrees of freedom (df) = (R-1)(C-1) with R = the number of rows and C = to the number of columns. Let's assume you wanted to test the Ho below: Ho: There is no significance difference in the number of males and females who graduated from North Dakota higher education institutions with (AA Degrees, BS or BA Degrees, MS Degrees, and PhD or EdD Degrees. Let's assume you used SPSS to compute a Chi- Square value and you had a gender as the row variable (male and female) and college degree as the column variable (AA Degree, BS or BA Degree, MS Degree, and PhD or EdD Degree). If you got a Chi-Square value = 6.89, would you ACCEPT or REJECT the H, at the .05 level of significance? Explain why you made the decision you did. The Chi-Square Statistic formula is: Se with the degrees of freedom (df) = (R-1)(C-1) with R = the number of rows and C = to the number of columns. Let's assume you wanted to test the Ho below: Ho: There is no significance difference in the number of males and females who graduated from North Dakota higher education institutions with (AA Degrees, BS or BA Degrees, MS Degrees, and PhD or EdD Degrees. Let's assume you used SPSS to compute a Chi- Square value and you had a gender as the row variable (male and female) and college degree as the column variable (AA Degree, BS or BA Degree, MS Degree, and PhD or EdD Degree). If you got a Chi-Square value = 6.89, would you ACCEPT or REJECT the H, at the .05 level of significance? Explain why you made the decision you did.