Could you please put it in answers in detail?

The table below the training examples a binary classification problem

$($a$)$ Compute the Gini index for the overall collection of training examples.

$($b$)$ Compute the Gini index for the Customer ID attribute.

$($c$)$ Compute the Gini index for the Gender attribute.

$($d$)$ Compute the Gini index for the Car Type attribute using multiway split.

$($e$)$ Compute the Gini index for the Shirt Size attribute using multiway split.

$($f$)$ Which attribute is better, Gender, Car Type, or Shirt Size? Why?

$($g$)$ Explain why Customer ID should not be used as the attribute test.