Consider the following relational schema about daily stock prices. StockPrice (stockid; timeid; price) We make the simplifying assumption that timeid is an integer that count the number of days from a particular date in the past (that is, the stock prices on the x-th day can be found by a simple selection condition of WHERE timeid = x). Write the following queries in SQL. Print out the 15-day moving averages of each stock sorted by stockid and timeid (ascending order). If the stock prices for a particular stock are timeid price 5 10 6 12 7 14 then its 2-day moving averages will be timeid 2-day moving average 6 11.0000000000000000 7 13.0000000000000000 Note that we want strict 15-day moving average, meaning that 1. There should be no 15-day moving average for the first 14 days (as shown in the above example). 2.If there are missing data (e.g., the price for a stock at some date is missing) within the 15-day (sliding) window, the computation on this window should be abandoned.
