Table 14-3 The following data consists of a matrix of transition probabilities (P) of three office locations (A,B,C) within a large company and how employees shift from one location to the other from year to year. The company CEO would like to understand the movement of employees over time and the long-run proportion of employees in each location. Assume that there is always a total of 3000 employees. A A [0.4 0.3 0.3] 0.5 0.2 0.3 (0) = [1000, 1000, 1000) 0.6 0.3 0.1] P = B Using the data given in Table 14-3, how many employees do we expect in location A two years from now? 1420 1400 1500 O 1000 S0000

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Section5.3: Modeling Data With Power Functions
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QUESTION 9
Table 14-3
The following data consists of a matrix of transition probabilities (P) of three office locations (A,B,C) within a large company and how employees shift from one
location to the other from year to year. The company CEO would like to understand the movement of employees over time and the long-run proportion of
employees in each location. Assume that there is always a total of 3000 employees.
A
В
A [0.4 0.3 0.3
0.5 0.2 0.3 T(0) = [1000, 1000, 1000)
0.6 0.3 0.1
P = B
%3D
Using the data given in Table 14-3, how many employ
do we expect in location A two years from now?
1420
1400
1500
1000
Transcribed Image Text:QUESTION 9 Table 14-3 The following data consists of a matrix of transition probabilities (P) of three office locations (A,B,C) within a large company and how employees shift from one location to the other from year to year. The company CEO would like to understand the movement of employees over time and the long-run proportion of employees in each location. Assume that there is always a total of 3000 employees. A В A [0.4 0.3 0.3 0.5 0.2 0.3 T(0) = [1000, 1000, 1000) 0.6 0.3 0.1 P = B %3D Using the data given in Table 14-3, how many employ do we expect in location A two years from now? 1420 1400 1500 1000
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