Free CSSBB Exam Braindumps (page: 15)

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The Central Limit Theorem states that the distribution of sample means approximates a normal distribution if:

  1. the population is normally distributed
  2. the sample is normally distributed
  3. the sample is randomly selected
  4. the sample size is sufficiently large
  5. the means are carefully calculated

Answer(s): D



Samples of size n=36 are randomly selected from a population with mean μ = 125 and variance 12. Find the variance of the distribution of sample means.

  1. .333
  2. .577
  3. 2
  4. 3.464
  5. 12

Answer(s): A



P(A) = .42, P(B) = .58, P(A&B) = .10 Find P(A or B).

  1. .90
  2. 1.00
  3. .24
  4. none of the above

Answer(s): A



P(A) = .42, P(B) = .58, P(A&B) = .10. Are A and B (statistically) independent?

  1. yes
  2. no

Answer(s): B






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