Consider the following code snippet.   >>> import numpy as n…

Consider the following code snippet.   >>> import numpy as np>>> a = np.random.uniform(size=(3, 3)) >>> a array([[0.81622475, 0.27407375, 0.43170418] [0.94002982, 0.81764938, 0.33611195] [0.17541045, 0.37283205, 0.00568851]]) >>> b = np.random.uniform(size=(3, 3)) >>> b array([[0.57509333, 0.89132195, 0.20920212] [0.18532822, 0.10837689, 0.21969749] [0.97862378, 0.81168315, 0.17194101]]) >>> XXXX >>> a array([[0.81622475, 0.27407375, 1. ] [1. , 1. , 1. ] [0.17541045, 0.37283205, 1. ]]) What code could you replace with XXXX to cause the following output?

Consider the following code snippet.   >>> import numpy as n…

Consider the following code snippet.   >>> import numpy as np>>> a = np.random.uniform(size=(3, 3)) >>> a array([[0.80228309 0.05297495 0.30860601] [0.48194334 0.90905674 0.32110407] [0.28256525 0.23255754 0.08857034]]) >>> b = np.random.uniform(size=(3, 3)) >>> b array([[0.08248317 0.23192471 0.08286411] [0.86504732 0.28871177 0.51897854] [0.87400201 0.21622928 0.44841032]]) >>> XXXX >>> a array([[0.80228309 0.05297495 0.30860601] [1. 0.90905674 1. ] [1. 0.23255754 1. ]]) What code could you replace with XXXX to cause the following output?

Consider the following valuation factors of a company: It ow…

Consider the following valuation factors of a company: It owns 1000 cars valued at $20,000 each It holds patents worth $7,000,000 It owes $10,000,000 in loans It pays $1.00 per year per share in dividends starting in one year The stock price is $60.00 per share There are 1,000,000 shares outstanding The discount rate is 5% The risk free rate is 1% What is the book value of the company?