Quantitative Methods - Distributions and Hypothesis Testing

Quantitative Methods - Distributions and Hypothesis Testing

University

16 Qs

quiz-placeholder

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Quantitative Methods - Distributions and Hypothesis Testing

Quantitative Methods - Distributions and Hypothesis Testing

Assessment

Quiz

Business

University

Hard

Created by

Jason Turkiela

Used 8+ times

FREE Resource

16 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In a discrete uniform distribution with 20 potential outcomes of integers 1 to 20, the probability that X is greater than or equal to 3 but less than 6, P(3 ≤ X < 6), is:

0.10.

0.15.

0.20.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

A client holding a £2,000,000 portfolio wants to withdraw £90,000 in one year without invading the principal. According to Roy’s safety-first criterion, which of the following portfolio allocations is optimal?

Allocation A.

Allocation B.

Allocation C.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A portfolio manager annually outperforms her benchmark 60% of the time. Assuming independent annual trials, what is the probability that she will outperform her benchmark four or more times over the next five years?

0.26.

0.34.

0.48.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is characteristic of the normal distribution?

Asymmetry

Kurtosis of 3

Definitive limits or boundaries

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following assets most likely requires the use of a multivariate distribution for modeling returns?

A call option on a bond

A portfolio of technology stocks

A stock in a market index

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

A portfolio has an expected mean return of 8 percent and standard deviation of 14 percent. The probability that its return falls between 8 and 11 percent is closest to:

8.3%

14.8%

58.3%

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

X is a discrete random variable with possible outcomes X = {1,2,3,4}. Three functions f(x), g(x), and h(x) are proposed to describe the probabilities of the outcomes in X.

The conditions for a probability function are satisfied by:

f(x).

g(x).

h(x).

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