- 1.
- Consider the following strategy for
comparing two medical treatments, say treatment A and treatment B.
Patients are treated one at a time and the result of each treatment is
recorded as a Success or a Failure. Every time a treatment succeeds the
next patient is treated with the same treatment which was just successful.
When a treatment fails, the next patient is treated with the other
treatment. Suppose that the probability that treatment A succeeds is
*p*_{A}while the probability that treatment B succeeds is*p*_{B}. In the long run what fraction of patients are treated with treatment B? - 2.
- With the same set up as in the first question suppose that
the treatment is changed only after two consecutive failures.
Using the four states:
- 0
- About to use A, last trial was not a failure with A.
- 1
- About to use A, last trial was a failure with A.
- 2
- About to use B, last trial was not a failure with B.
- 3
- About to use B, last trial was a failure with B.

- 3.
- A Markov Chain has state space
and transition matrix

- (a)
- Identify all the communicating classes and say whether or not
each is transient.
- (b)
- Let
.
Derive the equations

- 4.
- Cosmic rays are detected by a particle detector according to a Poisson
Process with rate 2. An arriving cosmic ray is detected with
probability 0.8 independent of all other cosmic rays and the time at which
the cosmic ray arrives. Compute
the probability that 4 cosmic rays arrived in a time period of length
*t*=5 starting from time*t*=0 given that given that 8 cosmic rays were detected in the time period from*t*=0 to*t*=8.

2002-02-15