Let f(x) = c for x in [0,4] and 0 for other values of x.
What is the value of the constant c that makes f(x) a probability density function; and what if f(x) = cx for x in [0,4]?
Answer : D
Let X be a random variable distributed normally with mean 0 and standard deviation 1. What is the expected value of exp(X)?
Answer : A
Every covariance matrix must be positive semi-definite. If it were not then:
Answer : D
When a number is written with a fraction as an exponent, such as , which of the following is the correct computation?
Answer : A
I have a portfolio of two stocks. The weights are 60% and 40% respectively, the volatilities are both 20%, while the correlation of returns is 50%. The volatility of my portfolio is
Answer : B
The fundamental theorem of analysis establishes a relation between
Answer : C
Every covariance matrix must be positive semi-definite. If it were not then:
Answer : D