Final answer:
The random variable V follows a Student's t-distribution with n-1 degrees of freedom, and the random variable X also follows a Student's t-distribution with n-1 degrees of freedom.
Step-by-step explanation:
The distribution of a random variable V = √5Y6 / √W can be identified by examining the properties of the random variables involved. In this case, Y6 is a single observation from a normal population with mean 0 and variance 1, and W is the sum of squares of the random sample Y1, Y2, . . . , Y5. Since Y6 and W are independent and follow a normal distribution, V follows a Student's t-distribution with n-1 degrees of freedom, where n is the sample size.
Similarly, the distribution of a random variable X = 2Y6 / √U can be determined by considering the properties of Y6 and U. Y6 is a single observation from a normal population with mean 0 and variance 1, and U is the sum of squares of the random sample Y1, Y2, . . . , Y5. Since Y6 and U are independent and follow a normal distribution, X follows a Student's t-distribution with n-1 degrees of freedom, where n is the sample size.