Statistics and Probability I Exam 2 Practice Problems | STAT 400, Exams of Probability and Statistics

Material Type: Exam; Class: Statistics and Probability I; Subject: Statistics; University: University of Illinois - Urbana-Champaign; Term: Unknown 1989;

Typology: Exams

Pre 2010

Uploaded on 03/11/2009

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STAT 400
Exam 2 Practice Problems
1. A continuous random variable Yhas a cumulative distribution function given by
F(y) =
0y < 0
y20y < 1
1y1
(a) Find P(1
2< Y 3
4) by using the cumulative distribution function.
(b) Find P(1
2< Y 3
4) by using the probability density function.
2. Let Xbe a continuous random variable distributed χ2(12)
(a) Fincd E(X) and V ar(X).
(b) Let X1, X2, X3be independent χ2(12) random variables. What is the distribution of
Y=X1+X2+X3?.
3. Suppose that math SAT scores for a particular population are normally distributed
with mean 475 and a standard deviation of 100.
(a) Find P[Score >650].
(a) What fraction of the population scores between 600 and 750?
(b) What score marks the 75th percentile?
(c) Given a random sample of size n= 10 scores, what is the distribution of the sample
mean?
4. Let X1and X2be two independent raondom variables with respective means 3 and 7
and variances 9 and 25. Compute the mean and variance of Y=2X1+X2.
5. Let Xequal the outcome when a four-sided die is rolled. Let Yequal the outcome
when a six-sided die is rolled. Assume Xand Yare independent. Let W=X+Y.
(a) Find the moment-generating function of W.
(b) Give the probability mass function of W.
6 Let Xbe the mean of a random sample of size n= 36 from an exponential distribution
with mean 3. Use the Central Limit Theorem to approximate P(2.5X4).

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STAT 400

Exam 2 Practice Problems

  1. A continuous random variable Y has a cumulative distribution function given by

F (y) =

  

0 y < 0 y^2 0 ≤ y < 1 1 y ≥ 1

(a) Find P ( 12 < Y ≤ 34 ) by using the cumulative distribution function. (b) Find P ( 12 < Y ≤ 34 ) by using the probability density function.

  1. Let X be a continuous random variable distributed χ^2 (12)

(a) Fincd E(X) and V ar(X). (b) Let X 1 , X 2 , X 3 be independent χ^2 (12) random variables. What is the distribution of Y = X 1 + X 2 + X 3 ?.

  1. Suppose that math SAT scores for a particular population are normally distributed with mean 475 and a standard deviation of 100.

(a) Find P [Score > 650]. (a) What fraction of the population scores between 600 and 750? (b) What score marks the 75th^ percentile? (c) Given a random sample of size n = 10 scores, what is the distribution of the sample mean?

  1. Let X 1 and X 2 be two independent raondom variables with respective means 3 and 7 and variances 9 and 25. Compute the mean and variance of Y = − 2 X 1 + X 2.
  2. Let X equal the outcome when a four-sided die is rolled. Let Y equal the outcome when a six-sided die is rolled. Assume X and Y are independent. Let W = X + Y.

(a) Find the moment-generating function of W. (b) Give the probability mass function of W.

6 Let X be the mean of a random sample of size n = 36 from an exponential distribution with mean 3. Use the Central Limit Theorem to approximate P (2. 5 ≤ X ≤ 4).