PRMIA 8007 Mathematical Foundations of Risk Measurement – 2015 Edition Exam Practice Test

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Total 132 questions
Question 1

In statistical hypothesis tests, 'Type I error' refers to the situation in which...



Answer : B


Question 2

Which of the following statements are true about Maximum Likelihood Estimation?

(i) MLE can be applied even if the error terms are not i.i.d. normal.

(ii) MLE involves integrating a likelihood function or a log-likelihood function.

(iii) MLE yields parameter estimates that are consistent.



Answer : C


Question 3

In a multiple linear regression, the significance of R2 can be tested using which distribution?



Answer : C


Question 4

You want to test the hypothesis that a population parameter of a regression model is zero. Your alternative hypothesis is that 0. Denote by SD() the estimated standard deviation of , and by MEAN() the estimated mean of . Which test statistic is appropriate, and what is its distribution?



Answer : D


Question 5

Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?



Answer : B


Question 6

Consider the following distribution data for a random variable X: What is the mean and variance of X?



Answer : D


Question 7

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


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Total 132 questions