CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things

  1. B
  2. False. You should narrow it.
  3. True
  4. A
  5. A
  6. False
  7. E
  8. A
  9. B
  10. True
  11. A
  12. C
  13. D

    Upper Bound on Chart = about 2

    Lower Bound on Chart = about 0.075

    Max Serial Number – Min Serial Number = 10107348 – 10085197 = 22,151

    Upper Bound Estimate = 22,151 × (1 + 2) = 66,453

    Lower Bound Estimate = 22,151 × (1 + .075) = 23,812

  14. B
  15. C
  16. A

    The variance is equal to the square of the standard deviation.

    Divide the sample variance by the number in each sample:

    3,0002 / 40 = 225,000

    3,041.382 / 70 = 132,142.86

    Add the two from above:

    225,000 + 132,142.86 = 357,142.86

    Find the square root of the result:

    Sqrt(357,142.86) = 597.61

    Compute the difference of sample means:

    35,000 – 34,000 = 1,000

    Chance that the mean revenue produced by extroverts is lower than that of nonextroverts = Normdist(0, 1000, 597.61, 1) = 4.7%

  17. A
  18. B
  19. A. Recall that a negative correlation is not the same as weakly correlated. It means that as one variable increases, the other decreases. A correlation of -.98 means that when one variable increases the other decreases in a highly predictable way.
  20. C
  21. True
  22. Sample Mean (point estimate) = (70 + 73 + 75 + 71 + 80)/5 = 73.8

    Standard error of the estimate of the mean =SQRT(VAR (70,73,75,71,80)/5)^.5 = 1.772

    t = 2.13 (given)

    90% CI for Mean = Point Estimate ± t × Stdev

    90% CI for Mean = 73.8 ± 2.13 × 1.77 = 70 to 77.6

  23. 936 – 1,587

    Stdev of Proportion = Sqrt(P × (1 - P))

    Proportion Tagged = 34/200 = 0.17

    Stdev of Proportion Tagged ...

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