May I know the solution to this?

2. The table below shows the records from a country club membership application database. University Education Income Level Profession Status No High Self-employed Rejected Yes Medium White-collar Accepted No Medium White-collar Rejected Yes High Blue-collar Accepted Yes Low Self-employed Rejected Status is the class label attribute. We are building a binary classication tree using GINI index to measure impurity of the data. (a) What is the GINI index for the observations in this data set? (b) List all possible splits that must be considered at the root node. (c) Which of these two attributes: [University Education, Income Level] willnot be selected as the attribute for splitting the root node? Explain your answer. (Note: the attribute that gives lower information gain should not be selected)