Indicate whether each phrase is more descriptive of financial accounting or managerial accounting.

(a) May be subjective

Financial accounting

Managerial accounting

(b) Often used to obtain financing

Financial accounting

Managerial accounting

(c) Typically prepared quarterly or annually

Financial accounting

Managerial accounting

(d) May measure time or customer satisfaction

Financial accounting

Managerial accounting

(e) Future oriented

Financial accounting

Managerial accounting

(f) Has a greater emphasis on cost-benefit analysis

Financial accounting

Managerial accounting

(g) Keeps records of assets and liabilities

Financial accounting

Managerial accounting

(h) Highly aggregated statements

Financial accounting

Managerial accounting

(i) Must conform to external standards

Financial accounting

Managerial accounting

(j) Special-purpose reports

Financial accounting

Managerial accounting

(k) Decision-making tool

Financial accounting

Managerial accounting

(l) Income statement, balance sheet, and statement of cash flows

Financial accounting

Managerial accounting

Which of the following is an advantage of multivariate correlational research over bivariate correlational research? O Bivariate correlational studies help address internal validity, whereas multivariate correlational studies do not. Multivariate correlational studies establish covariance, whereas bivariate correlational studies do not. O Some multivariate correlational studies help to address temporal precedence, whereas bivariate correlational studies do not. Multivariate correlational studies help to address external validity, whereas bivariate correlational studies do not.A stationary distribution of an m-state Markov chain is a probability vector q such that = q P, where P is the probability transition matrix. A Markov chain can have more than one stationary distribution. Identify all the stationary distributions that you can, for the 3-state Markov chain with transition probability matrix O O P Owl Does this Markov chain have a steady-state probability distribution ? 15 points1. Consider the Markov chain with the following transition matrix. 0 0.5 0.5 0.5 0 0.5 0.5 0.5 0 (a) Draw the transition diagram of the Markov chain. (b) Is the Markov chain ergodic? Give a reason for your answer. (c) Compute the two step transition matrix of the Markov chain. (d) What is the state distribution *2 for t = 2 if the initial state distribution for t = 0 is no = (0.1, 0.5, 0.4) ?Problem 7.4 (10 points) A Markov chain X0,X1, X2, . . . with state space S = {1, 2, 3, 4} has the following transition graph: (a) Provide the transitiOn matrix fer the Markov chain. (13) Determine all recurrent and all transient states