[試題] 104上 張勝凱 統計與計量上 第二次期中考

作者: grasscyc (淼)   2016-01-20 01:11:48
課程名稱︰統計學與計量經濟學暨實習上
課程性質︰必修
課程教師︰張勝凱
開課學院:社科院
開課系所︰經濟系
考試日期(年月日)︰11/20/2015
考試時限(分鐘):180 min.
試題 :
Problem 1. (25 points(5,10,10))
A new brand of chocolate bar is being market tested. Four hundred of the new
chocolate bars were given to consumers to try. The consumers were asked whether
they liked or disliked the chocolate bar. You are given their responses below.
Among 400 consumers are tested, 300 of them liked the chocolate bar and 100 of
them disliked it.
a. What is the point estimate for the proportion of people who liked the
chocolate bar?
b. Construct a 95% confidence interval for the true proportion of people who
liked the chocolate bar.
c. With a 95% confidence level, how large of a sample needs to be taken to
provide a margin of error of 3% or less?
Problem 2. (25 points (8,8,9))
Let X ,X ,X be i.i.d. random variables from a population having mean μ and
1 2 3 2 X1+X2 X2+X3
finite variance σ . Let W =———,W =X , and W =———.
1 2 2 3 3 3
2
a. What are the expected values of W ,W and W in terms of μ and σ ? Are they
1 2 3
unbiased estimators for μ?
2
b. What are the variance of W ,W and W in terms of μ and σ ?
1 2 3
2 2
c. Suppose that you know μ = 2σ in population, which estimator of μ do you
prefer, W ,W or W in terms of mean square errors (MSE) criterion? ( Hint:
1 2 3
2
MSE(W)=Var(W)+(Bias(W)) ).
Problem 3. (25 points (12,13))
th th
a. If the 20 and 60 percentiles of a normal random variable are -3.3 and
th
10.8, respectively. What is the value of 95 percentiles of this mormal
random variables?
b. Below you are given ages that were obtained by taking a random sample of 9
undergraduate students. Assume the population has a normal distribution.
19,22,23,19,21,22,19,23,21
Find the point estimate of mean μ and construct a 98% confidence interval
for the average age of undergraduate students.
Problem 4. (25 points (15,10))
θ-1
a. The pdf of Y is f(y|θ)=θy for 0≦y≦1, and f(y|θ)= 0 otherwise. For
random sampling with sample size n, Y ,Y ,...,Y ,find the maximum likelihood
︿ 1 2 n
estimator (MLE),θ , of θ.
MLE
b. One observation is taken on a discrete random variable X with pmf f(χ|θ)
as described below, where θ={1,2,3}. Find the MLE of θ.
──────────────
χ f(χ|1) f(χ|2) f(χ|3)
──────────────
0 1/3 0 1/4
1 1/6 1/4 1/4
2 1/3 0 0
3 1/6 3/4 1/2
──────────────

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