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Quants Test - TE 2

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Professional Development

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Quants Test - TE 2
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40 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following most accurately describes how to standardize a random variable X?

A. Subtract the mean of X from X, and then divide that result by the standard deviation of the standard normal distribution.
B. Divide X by the difference between the standard deviation of X and the standard deviation of the standard normal distribution.
C. Subtract the mean of X from X, and then divide that result by the standard deviation of X.

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following statements is correct with respect to the null hypothesis?

A. It is considered to be true unless the sample provides evidence showing it is false.
B. It can be stated as “not equal to” provided the alternative hypothesis is stated as “equal to.”
C. In a two-tailed test, it is rejected when evidence supports equality between the hypothesized value and population parameter.

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Compared with historical simulation, Monte Carlo simulation is most appropriate when:

A. probability distributions are unavailable.
B. “what if” analysis is required.
C. analytical methods are required.

4.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following should be used to test the difference between the variances of two normally distributed populations?

A. t-test
B. F-test
C. Paired comparisons test

5.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

The level of significance of a hypothesis test is best used to:

A. calculate the test statistic.
B. define the test’s rejection points.
C. specify the probability of a Type II error.

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image

A. −2.009 and 2.009.
B. −2.010 and 2.010.
C. −1.960 and 1.960.

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following is best described as a discrete random variable?

A. The expected percentage change in a country’s gross national product for the next year
B. The number of days on which the DJIA experienced an increase since 2013
C. The expected annual return on the Nikkei 225 Index over the next year

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