2. Write a SELECT statement that answers this question: Which products have a list price that's greater than the average list price for all products? Return the product_name and list_price columns for each product. Sort the results by the list_price column in descending sequence.

4. Write a SELECT statement that returns three columns: email_address, order_id, and the order total for each customer. To do this, you can group the result set by the email_address and order_id columns. In addition, you must calculate the order total from the columns in the Order_Items table. Write a second SELECT statement that uses the first SELECT statement in its FROM clause. The main query should return two columns: the customers email address and the largest order for that customer. To do this, you can group the result set by the email_address.

5. Write a SELECT statement that returns the name and discount percent of each product that has a unique discount percent. In other words, dont include products that have the same discount percent as another product. Sort the results by the product_name column.

6. Use a correlated subquery to return one row per customer, representing the customer's oldest order (the one with the earliest date). Each row should include these three columns: email_address, order_id, and order_date.

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