In: Statistics and Probability
Question 18
A large corporation
collected data on the reasons both middle managers and senior
managers leave the company. Some managers eventually retire, but
others leave the company prior to retirement for personal reasons
including more attractive positions with other firms. Assume that
the following matrix of one-year transition probabilities applies
with the four states of the Markov process being retirement, leaves
prior to retirement for personal reasons, stays as a middle
manager, and stays as a senior manager.
Leaves- | Middle | Senior | ||
Retirement | Personal | Manager | Manager | |
Retirement | 1.00 | 0.00 | 0.00 | 0.00 |
Leaves-Personal | 0.00 | 1.00 | 0.00 | 0.00 |
Middle Manager | 0.03 | 0.07 | 0.80 | 0.10 |
Senior Manager | 0.08 | 0.01 | 0.03 | 0.88 |
The company currently has 640 middle managers and 280 senior
managers. How many of these managers will eventually leave the
company for personal reasons? Please calculate the N & NR
matrices to the nearest three decimal places!
579 |
||
225 |
||
341 |
||
287 |
||
5 |
ANSWER: 341
Steady state is computed as below:
We stop the iterations, because states are almost stabilized.
We see that steady state for L = 341
and for R = 578
EXCEL FORMULAS:
H6 =$H5*B$4+$I5*B$5+$J5*B$6+$K5*B$7 copy to H6:H75
I6 =$H5*C$4+$I5*C$5+$J5*C$6+$K5*C$7 copy to I6:I75
J6 =$H5*D$4+$I5*D$5+$J5*D$6+$K5*D$7 copy to J6:J75
K6 =$H5*E$4+$I5*E$5+$J5*E$6+$K5*E$7 copy to K6:K75