Free CFA-Level-I Exam Braindumps (page: 275)

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Given the following distribution regarding the cost of textbooks:

Cost of Textbooks Number
$25 - $342
$35 - $445
$45 - $547
$55 - $6420
$65 - $7416

What is the relative class frequency for the $25 - $34 class?

  1. 10%
  2. 2%
  3. 5%
  4. None of these answers
  5. 4%

Answer(s): E

Explanation:

The relative frequency is given by 2/50 = 0.04 = 4%



If the underlying theory suggests that the value of an estimated variable is greater than a particular number, it is appropriate to use:

  1. either a right-tailed or left-tailed test.
  2. a two-tailed test.
  3. none of these answers.
  4. a right-tailed test.
  5. a left-tailed test.

Answer(s): D

Explanation:

When an observation is made and we see a value greater than the threshold suggested by the theory, we would like to known the probability of getting the larger value due simply to chance rather than to the event being driven by the theory. For this, we need to known the right-tail probabilities under the null hypothesis.



What monthly payment, beginning next month, is required over the next 48 months to pay off a $10,000 debt today, if interest is charged at 10% per year, compounded monthly?

  1. $253.63
  2. $266.67
  3. $216.02
  4. $270.54
  5. $400.54

Answer(s): A

Explanation:

On the BAII Plus, press 48 N, 10 divide 12 = I/Y, 10000 PV, 0 FV, CPT PMT. On the HP12C, press 48 n, 10 ENTER 12 divide i, 10000 PV, 0 FV, PMT. Make sure the BAII Plus has the P/Y value set to 1.



Which of the following is/ are true?

  1. Doubling every single value in a sample doubles the sample mean.
    II. Adding a constant to each value in a sample leaves the mean unchanged.
    III. The mean of a sample decreases as the number of observations increases.
  2. I only
  3. I & III
  4. I, II & III
  5. II only
  6. III only
  7. II & III

Answer(s): A

Explanation:

Adding a constant to each value in a sample increases the mean by the same constant. III is incorrect. As the number of observations increases, it is the expected difference between the sample mean and the population mean that decreases.






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