Exam MAS-I Practice Question 167
Study guide: Exam MAS-I
X_1, \dots, X_n is a random sample from a normal distribution with mean \mu and variance \sigma^2, with sample mean \bar X and sample variance S^2 = \sum (X_i - \bar X)^2/(n - 1). Match each statistic to its exact distribution. An option may be used more than once or not at all.
Part a (1 point)
\frac{1}{\sigma^2}\sum_{i=1}^{n} (X_i - \mu)^2
- A)
\chi^2(1) - B)
\chi^2(n - 1) - C)
\chi^2(n) - D)
t(n - 1) - E)
F(1,\ n - 1)
Part b (1 point)
\frac{(n - 1)S^2}{\sigma^2}
- A)
\chi^2(1) - B)
\chi^2(n - 1) - C)
\chi^2(n) - D)
t(n - 1) - E)
F(1,\ n - 1)
Part c (1 point)
\frac{n(\bar X - \mu)^2}{S^2}
- A)
\chi^2(1) - B)
\chi^2(n - 1) - C)
\chi^2(n) - D)
t(n - 1) - E)
F(1,\ n - 1)
Part d (1 point)
\frac{\bar X - \mu}{S/\sqrt{n}}
- A)
\chi^2(1) - B)
\chi^2(n - 1) - C)
\chi^2(n) - D)
t(n - 1) - E)
F(1,\ n - 1)
Part e (1 point)
\frac{n(\bar X - \mu)^2}{\sigma^2}
- A)
\chi^2(1) - B)
\chi^2(n - 1) - C)
\chi^2(n) - D)
t(n - 1) - E)
F(1,\ n - 1)
Answer this question and see the worked solution
Concepts tested
- Chi-Squared Distribution
- Student's t-Distribution
- F-Distribution
- Sample Variance
- Normal Distribution