Samantha manages a public library and monitors the borrowing activity of library patrons throughout the year. She maintains detailed records of how many books each patron borrows each month. At the end of the year, she computes the average number of books borrowed per month for each patron. This metric is referred to as "Books Borrowed Per Month" and is abbreviated as "BBPM." While some patrons have consistently borrowed books every month, there are also patrons who haven't borrowed any books at all throughout the year. Conversely, a few avid readers have borrowed more than 100 books in total over the year. The following statistics have been generated for a variable labelled "BBPM". Statistics Visits per month N Valid 250 Missing o Mean 1.68 Median 8.50 Mode 2.1 Range 104 Minimum -99 Maximum 100 Samantha is concerned about the above descriptive statistics. She now recalls that she has assigned the value '-99' to customers that she has yet to enter data into for the year. She takes the following actions: She clicks on the variable view and locates the row where the name "BBPM" appears. She then clicks on the cell pertaining to the 'Missing' column for this variable. She -99. then updates the discrete missing value to include the value What is likely to occur when she re-runs her descriptive statistics following these actions? The minimum should now be the value one ) The number of valid observations (N Valid) should decrease The mode will increase in value O The mean should d