Actuarial Notes

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)

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