Statistics Homework 1 for Statistics 131C, Spring 2009, Assignments of Mathematical Statistics

Homework problems for the statistics 131c course offered in spring 2009. The problems cover various topics in statistics, including hypothesis testing, power functions, and test sizes for uniform, bernoulli, and exponential distributions. Students are expected to determine critical regions, find test statistics, and construct test procedures.

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Spring 2009
Statistics 131C
Homework 1
Due : April 10
1. Problem 8.1.2 : Suppose that X1, . . . , Xnform a random sample from a uniform distri-
bution on the interval [0 ], and that the following hypotheses are to be tested:
H0:θ2 against H1:θ < 2.
Let Yn= max{X1, . . . , Xn}, and consider a test procedure such that the critical region
contains all the outcomes for which Yn1.5.
(a) Determine the power function of the test.
(b) Determine the size of the test.
2. Problem 8.1.6 : Suppose that a single observation Xis to be taken from a uniform
distribution on the interval [θ1
2, θ +1
2], and suppose that the following hypotheses are
to be tested:
H0:θ3 against H1:θ4.
Construct a test procedure δfor which the power function has the following values:
π(θ|δ) = 0 for θ3, and π(θ|δ) = 1 for θ4.
3. Problem 8.1.11 : Assume that X1, . . . , Xnare i.i.d. having a Bernoulli distribution with
parameter p. Suppose that we wish to test the hypotheses:
H0:p= 0.4 against p6= 0.4.
Let Y=P9
i=1 Xi.
(a) Find c1,c2such that
P(Yc1|p= 0.4) + P(Yc2|p= 0.4)
is as close as possible to 0.1 without being larger than 0.1.
(b) Let δbe the test that rejects H0if either Yc1or Yc2. What is the size of the
test δ?
(c) Draw a graph of the power function of δ.
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pf2

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Spring 2009

Statistics 131C

Homework 1

Due : April 10

  1. Problem 8.1.2 : Suppose that X 1 ,... , Xn form a random sample from a uniform distri- bution on the interval [0, θ], and that the following hypotheses are to be tested:

H 0 : θ ≥ 2 against H 1 : θ < 2.

Let Yn = max{X 1 ,... , Xn}, and consider a test procedure such that the critical region contains all the outcomes for which Yn ≤ 1 .5.

(a) Determine the power function of the test. (b) Determine the size of the test.

  1. Problem 8.1.6 : Suppose that a single observation X is to be taken from a uniform distribution on the interval [θ − 12 , θ + 12 ], and suppose that the following hypotheses are to be tested: H 0 : θ ≤ 3 against H 1 : θ ≥ 4.

Construct a test procedure δ for which the power function has the following values: π(θ|δ) = 0 for θ ≤ 3, and π(θ|δ) = 1 for θ ≥ 4.

  1. Problem 8.1.11 : Assume that X 1 ,... , Xn are i.i.d. having a Bernoulli distribution with parameter p. Suppose that we wish to test the hypotheses:

H 0 : p = 0. 4 against p 6 = 0. 4.

Let Y =

i=1 Xi. (a) Find c 1 , c 2 such that

P(Y ≤ c 1 |p = 0.4) + P(Y ≥ c 2 |p = 0.4)

is as close as possible to 0.1 without being larger than 0.1. (b) Let δ be the test that rejects H 0 if either Y ≤ c 1 or Y ≥ c 2. What is the size of the test δ? (c) Draw a graph of the power function of δ.

  1. Problem 8.1.14 : Let X 1 ,... , Xn be i.i.d. with an exponential distribution having param- eter θ. Suppose that we wish to test the hypotheses

H 0 : θ ≥ θ 0 against H 1 : θ < θ 0.

Let X =

∑n i=1 Xi. Let^ δc^ be the test that rejects^ H^0 if^ X^ ≥^ c. (a) Show that π(θ|δc) is a decreasing function of θ. (b) Find c in order to make δc have size α 0. (c) Let θ 0 = 2, n = 1 and α 0 = 0.1. Find the precise form of the test δc and sketch the power function.

  1. Problem 8.2.2 : Consider two p.d.f.’s f 0 (x) and f 1 (x) which are defined as follows:

f 0 (x) =

1 for 0 ≤ x ≤ 1 0 otherwise,

and

f 1 (x) =

2 x for 0 ≤ x ≤ 1 0 otherwise.

Suppose that a single observation X is taken from a distribution for which the p.d.f. f (x) is either f 0 (x) or f 1 (x), and the following simple hypotheses are to be tested:

H 0 : f (x) = f 0 (x) against H 1 : f (x) = f 1 (x).

(a) Describe a test procedure δfor which the value of α(δ) + 2β(δ) is minimum. (b) Determine the minimum value of α(δ) + 2β(δ) attained by that procedure.

  1. Problem 8.2.10 Suppose that X 1 ,... , Xn form a random sample from a Poisson distribu- tion for which the value of the mean λ is unknown. Let λ 0 and λ 1 be specified values such that λ 1 > λ 0 > 0, and suppose that it is desired to test the following simple hypotheses:

H 0 : λ = λ 0 against H 1 : λ = λ 1.

(a) Show that the value of α(δ) + β(δ) is minimized by a test procedure which rejects H 0 when Xn > c. (b) Find the value of c. (c) For λ 0 = 1/4, λ 1 = 1/2 and n = 20, determine the minimum value of α(δ) + β(δ) that can be attained.