A farm contains four water sources, `P`, `Q`, `R` and `S`.
Part 1
Cows on the farm are free to move between the four water sources.
The change in the number of cows at each of these water sources from week to week is shown in the transition diagram below.
Let `C_n` be the state matrix for the location of the cows in week `n` of 2019.
The state matrix for the location of the cows in week 23 of 2019 is `C_23 = [(180),(200),(240),(180)]{:(P),(Q),(R),(S):}`
The state matrix for the location of the cows in week 24 of 2019 is `C_24 = [(160),(222),(203),(215)]{:(P),(Q),(R),(S):}`
Of the cows expected to be at `Q` in week 24 of 2019, the percentage of these cows at `R` in week 23 of 2019 is closest to
- 8%
- 9%
- 20%
- 22%
- 25%
Part 2
Sheep on the farm are also free to move between the four water sources.
The change in the number of sheep at each water source from week to week is shown in matrix `T` below.
`{:(),(),(T=):}{:(qquadqquadqquadtext(this week)),((qquadP,quadQ,quadR,quadS)),([(0.4,0.3,0.2,0.1),(0.2,0.1,0.5,0.3),(0.1,0.3,0.1,0.2),(0.3,0.3,0.2,0.4)]):}{:(),(),({:(P),(Q),(R),(S):}):}{:(),(),(text(next week)):}`
In the long term, 635 sheep are expected to be at `S` each week.
In the long term, the number of sheep expected to be at `Q` each week is closest to
- 371
- 493
- 527
- 607
- 635






