(The Stock class) Design a class named Stock that contains: • A string data field named symbol for the stock’s symbol.
• A string data field named name for the stock’s name.
• A double data field named previousClosingPrice that stores the stock price for the
previous day.
• A double data field named currentPrice that stores the stock price for the current time.
• A constructor that creates a stock with the specified symbol and name.
• A method named getChangePercent() that returns the percentage changed from
previousClosingPrice to currentPrice.
Draw the UML diagram for the class and then implement the class. Write a test program that
creates a Stock object with the stock symbol ORCL, the name Oracle Corporation, and the
previous closing price of 34.5. Set a new current price to 34.35 and display the price-change
percentage.

Explain the circumstances for which the interquartile range is the preferred measure of dispersion. what is an advantage that the standard deviation has over the interquartile range? choose the correct answer below. a. the interquartile range is preferred when the distribution is symmetric. an advantage of the standard deviation is that it increases as the dispersion of the data increases. b. the interquartile range is preferred when the data are not skewed or no have outliers. an advantage of the standard deviation is that it uses all the observations in its computation. c. the interquartile range is preferred when the distribution is symmetric. an advantage of the standard deviation is that it is resistant to extreme values. d. the interquartile range is preferred when the data are bell shaped. an advantage of the standard deviation is that it is resistant to extreme values. e. the interquartile range is preferred when the data are skewed or have outliers. an advantage of the standard deviation is that it uses all the observations in its computation. f. the interquartile range is preferred when the data are bell shaped. an advantage of the standard deviation is that it increases as the dispersion of the data increases.