4.15 Central limit theorem

4.15 Central limit theorem Quiz

IB Maths: Applications and Interpretation HL: Quiz

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  1. 1. X∼N(50, 16)X\sim N(50,\ 16). A random sample of 44 is taken. What is the distribution of Xˉ\bar{X}?

    • A. N(50, 4)N(50,\ 4)
    • B. N(50, 16)N(50,\ 16)
    • C. N(200, 64)N(200,\ 64)
    • D. N(50, 2)N(50,\ 2)
  2. 2. XX and YY are independent, Var(X)=9\mathrm{Var}(X)=9 and Var(Y)=4\mathrm{Var}(Y)=4. Find Var(X−Y)\mathrm{Var}(X-Y).

    • A. 55
    • B. 1313
    • C. 2525
    • D. 11
  3. 3. A skewed population has mean 2020 and standard deviation 66. For a random sample of 3636, what is P(Xˉ>21)\mathrm{P}(\bar{X}>21) (to 3 s.f.)?

    • A. 0.3090.309
    • B. 0.06680.0668
    • C. 0.1590.159
    • D. 0.02270.0227
  4. 4. Which statement about the central limit theorem is correct?

    • A. It makes any single observation normal.
    • B. It needs the population to be normal.
    • C. It applies to sample means from large samples.
    • D. It applies only when n<30n<30.
  5. 5. A random sample of n=100n=100 is taken from a population with standard deviation 1515. What is the standard deviation of Xˉ\bar{X}?

    • A. 150150
    • B. 1.51.5
    • C. 1515
    • D. 0.150.15

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