Detecting unusual numbers or outliers in a data set is important in many disciplines, because the outliers identify interesting phenomena, extreme events, or invalid experimental results. a simple method to check if a data value is an outlier is to see if the value is a significant number of standard deviations away from the mean of the data set. for example, is an outlier if where is the data set mean, is the data set standard deviation, and nis the number of standard deviations deemed significant. assign outlierdata with all values in userdata that are numberstddevs standard deviations from userdata's mean. hint: use logical indexing to return the outlier data values. ex: if userdata is [9, 50, 51, 49, 100 ] and numberstddevs is 1, then outlierdata is [9, 100].

File account.java (see previous exercise) contains a definition for a simple bank account class with methods to withdraw, deposit, get the balance and account number, and return a string representation. note that the constructor for this class creates a random account number. save this class to your directory and study it to see how it works. then write the following additional code: 1. suppose the bank wants to keep track of how many accounts exist. a. declare a private static integer variable numaccounts to hold this value. like all instance and static variables, it will be initialized (to 0, since it’s an int) automatically. b. add code to the constructor to increment this variable every time an account is created. c. add a static method getnumaccounts that returns the total number of accounts. think about why this method should be static - its information is not related to any particular account. d. file testaccounts1.java contains a simple program that creates the specified number of bank accounts then uses the getnumaccounts method to find how many accounts were created. save it to your directory, then use it to test your modified account class.