The PSTAT Department at UCSB has developed a Markov model to simulate graduation rates in their programs. Students might drop out, repeat a year, or move on to the next year until they graduate. Students have a 3% chance of repeating their current year. First-years and sophomores have a 6% chance of dropping out. For juniors and seniors, the drop-out rate is 4%. Provide the state space S and the transition probability matrix for this Markov chain. Also draw the associated transition graph.

State space

Transition probability matrix

The transition graph is attached.

Step-by-step explanation:

The state space for this Markov chain is all the possible states that the variable can take.

In this case the student can be: Freshman, Sophomore, Junior, Senior, Graduate and Drop out

The transition probability matrix for this state space is:

The transition graph is attached.

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step-by-step explanation:

when rotating a figure 180 degrees, imagine that you are able to take the figure and turn it clockwise or counterclockwise around a center point. to rotate a figure 180 degrees, you will need to apply the rule (x, y) → (-x, -y). start by using a coordinate grid with coordinates for each vertex of the figure. the center point of the coordinate grid is located at (0, 0), which is what you will rotate the figure around. write down the original coordinates of the shape you are going to rotate. then, apply the rule. for example, coordinate (1, 2) becomes (-1, -2). another example would be, coordinate (-4, -2) becoming (4, 2). after you change each original coordinate to the rotated coordinate, you will draw your new figure.

step-by-step explanation: