4. Consider the following hypothesis test about population mean: H₀ :μ = 3, H₁ : μ ＞ 3. Which of the following results gives most supportive evidence to reject the hypothesis?
(A) Sample mean equals to 5 and standard error equals to 1.
(B)Sample mean equals to 5 and standard error equals to 2.
(C) Sarple mean equals to 3.5 and standard error equals to 1.
(D) Sample mean equals to 2 and standard error equals to 1.
(E) Sarple mean equals to 2 and standard error equals to 0.5.

1. Consider n samples independently drawn from a distribution with mean O and variance 1. What is the minimum value of n that will make variance of the sample mean no greater than 0.01? (A) 30；(B)4；(C)100；(D)n does not matter here；(E)None of the above is correct.

2. A 95% confidence interval of a population mean is . Which of the following statement is the most correct one? (A) If random samples were drawn again and again, with computed each time, the population mean would lie in the interval 95% of the samples. (B)If = 0.5, the population mean would lie in the interval [0.1,0.5] with 95% probability. (C) If = 0.55, the population mean might still lie outside the interval [0.05,0.55)(D) If= 0.56, the population mean would ie in the interval [0.03, 0.56] greater than 95% probability. (E) a and c.

3. 1f E[XIY] = E[X], then (A) X and Y are mutually independent；(B)X and Y are uncotrelated；(C)E [X2|Y] = E [x2]；(D) Var (X|Y) = Var(X)；(E)E(X]=0.

5. Suppose we want to test H0 :μ= μo against H1:μ ≠ μ0: (A) The power function of the test is a function of tu and describes the probability of rejecting H0. (B)The maximun probability of comnitting a Type I error is called the power of the test.(C)  The minimum probability of committing a Type II error is called tbe size of the test.(D) When the power function is evaluated atμo, the value equais to the probability of committing a Type II error.(E)None of the above is correct.

6. Consider two continuous random variables (X,Y) with X [0,∞] and Y  [1,5]. The joint density function of (X,Y) isWhat is the conditional density function of X given Y = 1 if X  [0,∞]? (A) (B)；(C)exp(-x)；(D)；(E) .

7. Consider an experiment having two outcomes: success with probability p = 0.12 and failure with probability 1 - p = 0.88. Suppose we independently conduct the experiment n times and estimate p with  What is the minimum value of n that will make standard deviation of no greater than 0.01? (A) 30；(B)1056；(C)33；(D)n does not matter here,(E)None of the above is correct.

8. A population is composed of 5 numnbers: 2, 4, 6, 8, 10. Let u and a denote mean and standard deviation of the population, and denote mean and standard deviation of the sample mean from the population. Which of the following statement is the most correct one? (A) μ = 6 ，σ = 3 16(B)(C) = 283；(D)μ= 6, σ  = 2.83(E).=μ， σ = 3.16.

9. If we calculate sample mean from the population in question 8, with sample size equal to 2. Let denote the theoretical density and cumulative distributions of the sarple mean, respectively. Which of the following statement is the most correct one? (A)(B)(C) (D)(E)

10. If we calculate a sample mean from the population in question 8, with sarple size equal to 2, Letdenote mean and standard deviation of the sample mean. Which of the following statement is the most correct one? (A)(B)(C)(D)=5.5, = 1.89； (E)

11. Consider two discrete random variables (X,Y) with X {0,1,2}and Y  {0,3}. The joint probability mass function of (X,Y) isWhat is the conditional expectation of X given Y = 0? (A) 0.5；(B)1；(C)(D)(E) None of the above.

113年 - 113 國立臺灣大學_碩士班招生考試：工程統計#119664

112年 - 112 國立臺灣大學_碩士班招生考試試題：工程統計#119662

111年 - 111 國立臺灣科技大學_碩士班招生試題：統計學(C)#120895

110年 - 110 國立陽明交通大學_碩士班考試入學試題：統計學#121574

110年 - 110 國立臺灣科技大學_碩士班招生試題_企業管理系：統計學#111322

110年 - 110 國立臺灣大學_碩士班招生考試_部分系所:統計學(H)#111297

110年 - 110 國立政治大學_碩士班暨碩士在職專班招生考試_財政所:統計學#110890

110年 - 110 國立高雄科技大學_碩士班招生考試_工業工程與管理系：統計學#110420

110年 - 110 國立政治大學_碩士班招生考試_財政研究所:統計學#107983

110年 - 110 國立政治大學_碩士班招生考試_ 國際經營與貿易學系:統計學#106074