Give definitions of the following terms:
1.a.1 Random variable
1. a.2 The conditional probability.
1.a.3 Statistically independent events
1.a.4 The mean of a discrete random variable X.
1.a.5 The variance and the standard deviation of a discrete random variable X.
b) (1 point) What are the properties of the probability mass function, f(x) of a discrete random variable?
c) (2 points) How can the cumulative distribution function F(x) be calculated from f(x) for a discrete random variable X?
d) (2 points each) We will soon study various types of probability distributions used to model discrete random processes. Use the book and/or the internet to define the discrete process(es) usually modeled by each of the following distributions.
1.d.1 A uniform distribution
1.d.2 A binomial distribution
1.d.3 A geometric distribution
1.d.4 A negative binomial distribution
1.d.5 A hypergeometric distribution
1.d.6 A Poisson distribution
Give definitions of the following terms: 1.a.1 Random variable 1. a.2 The conditional probability....