The funding of private tertiary education can be a serious issue, especially in developing countries. An economist analyst wanted to explore the issue of family's affordability of tertiary education. Thus, he developed a specific objective to determine whether the household income (in thousands of RM) of families across three locations namely, city, town, and village are significantly different from each other in order to conclude families' affordability to send their children to private tertiary education. The questionnaires were sent to the students at Malaysian private universities according to the random sampling technique. Based on the above scenario and appropriate SPSS output,

a) Determine the sum of squares between groups, (A).

b) Determine the mean square within groups, (B).

c) Calculate F statistic value, (C).

d) State the alternate hypothesis.

e) At the 0.05 level of significant, is there evidence of a difference in the mean of the household income of families across city, town and village.

f) State two (2) primary assumption of variance analysis.

Output 5 Group Statistics Supplier Mean Std. Std. Error Deviation Mean Primary 38.00 6.557 3.786 Price Secondary 59.33 15.695 Levene's Test t-test for Equality of Means for Equality of Variances LL Sig Sig. (2- Mean Std. Error tailed) Difference Difference Equal 3.122 0.152 096 9.821 U variances assumed Price Equal -2.172 2.678 -129 -21.333 9.821 variances not assumed PPB3063 Business Statistics Output 6 ANOVA Sum of Squares Mean L Sig Square Between Groups 23425.15 O 0.0021 Within Groups 35424.20 276 B Total 82274.50 279 Output 7 27'C BE ~ EN OMEN