Final answer:
In a continuous distribution function, F(U) represents the cumulative distribution function (CDF), U² represents the probability density function (PDF), 1−F(U) represents the probability of the random variable being greater than U, and 1/2 F(U) does not have a specific meaning or interpretation.
Step-by-step explanation:
In a continuous distribution function, the random variable U is uniformly distributed between 0 and 1. Let F be the continuous distribution function.
a) F(U) represents the cumulative distribution function (CDF), which gives the probability that the random variable is less than or equal to U.
b) U² represents the probability density function (PDF) of U, which is a constant value of 1.
c) 1−F(U) represents the probability that the random variable is greater than U.
d) 1/2 F(U) does not have a specific meaning or interpretation in this context.