Practice Problem for Midterm - Stochastic Process | PSTAT 160A, Study notes of Statistics

Practice Midterm Material Type: Notes; Class: STOCHASTIC PROCESS; Subject: Statistics & Applied Probability; University: University of California - Santa Barbara;

Typology: Study notes

2011/2012

Uploaded on 03/17/2012

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PSTAT160A - Introduction to Stochastic Processes Brunick
PSTAT160A - Practice Problems for the Midterm
You can expect problems like the following in the midterm. It is unlikely that I will have an
opportunity to write up solutions to these problems.
1. A coin is randomly selected from a group of ten coins where the ith coin has probability i/10
of landing heads with i= 1,2,...,10. This coin is then flipped until a heads is obtained. Let
the random variable Ndenote the number flips that are required. Compute the probability
mass function and expected value of N. Don’t expect everything to simplify.
2. There are three types of light bulbs on the market: produced by company A,B, or C. It is
known that 20% of the bulbs on the market are produced by company A, 30% by Band 50%
by C. It is also known that 3% of the bulbs produced by Aare defective, 5% of the bulbs
produced by Bare defective and 2% of the bulbs produced by Care defective. Once the
bulbs are on the market, a customer cannot distinguish which company produced it. Assume
that you buy a light bulb and it is defective. What is the probability that it was produced
by company B?
3. Let Xbe a geometric random variable with parameter p1, and let Ybe a geometric random
varaible with parameter p2. Assume that Xand Yare independent and compute P(XY).
4. A fair coin is tossed repeatedly and the record of the outcomes is kept. Tossing stops the
moment the total number of heads obtained so far exceeds the total number of tails by 3.
For example, a possible sequence of tosses could look like HHTTTHTHHTHH. What is the
probability that the length of such a sequence is at most 10? You can compute the answer
exactly.
5. Let (Xn)n0be a simple symmetric random walk and denote by (Nn)n0its running mini-
mum, which means Nn= min(X0, X1,...Xn).
(a) Compute P(X10 = 2 and X18 = 6).
(b) Compute P(X12 = 2 and N12 3).
(c) Compute P(X8= 2 and N8=1).
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PSTAT160A - Introduction to Stochastic Processes Brunick

PSTAT160A - Practice Problems for the Midterm

You can expect problems like the following in the midterm. It is unlikely that I will have an opportunity to write up solutions to these problems.

  1. A coin is randomly selected from a group of ten coins where the ith coin has probability i/ 10 of landing heads with i = 1, 2 ,... , 10. This coin is then flipped until a heads is obtained. Let the random variable N denote the number flips that are required. Compute the probability mass function and expected value of N. Don’t expect everything to simplify.
  2. There are three types of light bulbs on the market: produced by company A, B, or C. It is known that 20% of the bulbs on the market are produced by company A, 30% by B and 50% by C. It is also known that 3% of the bulbs produced by A are defective, 5% of the bulbs produced by B are defective and 2% of the bulbs produced by C are defective. Once the bulbs are on the market, a customer cannot distinguish which company produced it. Assume that you buy a light bulb and it is defective. What is the probability that it was produced by company B?
  3. Let X be a geometric random variable with parameter p 1 , and let Y be a geometric random varaible with parameter p 2. Assume that X and Y are independent and compute P(X ≤ Y ).
  4. A fair coin is tossed repeatedly and the record of the outcomes is kept. Tossing stops the moment the total number of heads obtained so far exceeds the total number of tails by 3. For example, a possible sequence of tosses could look like HHTTTHTHHTHH. What is the probability that the length of such a sequence is at most 10? You can compute the answer exactly.
  5. Let (Xn)n≥ 0 be a simple symmetric random walk and denote by (Nn)n≥ 0 its running mini- mum, which means Nn = min(X 0 , X 1 ,... Xn).

(a) Compute P(X 10 = 2 and X 18 = 6). (b) Compute P(X 12 = 2 and N 12 ≥ −3). (c) Compute P(X 8 = 2 and N 8 = −1).