Use has been made of the material at
www.columbia.edu/cu/psychology/ courses/S1610q/06RandomVariables.ppt
www.math.usu.edu/~vukasino/ teaching/fall2001/Lecture_notes/unit3.PDF
Statistics for Management by Levin and Rubin

What are random variables?
A random variable is a variable that takes on different values as a result of the outcomes of a random experiment.
A random experiment is a process for which more than one outcome is possible. The outcome of a random experiment can be numerical value itself (e.g., tossing a die where we get the values of 1,2,3,4,5,6), but it does not have to be numerical value (e.g., tossing a coin where we get a head or a tail, drawing a ball from a bag, having a baby-boy or a baby-girl). However, we can always assign numerical value to an outcome of a random experiment. ?By assigning numerical value to the outcome of a random experiment, we get a RANDOM VARIABLE, which we (usually) denote by x.

Let x represent a quantitative variable that is measured or observed in an experiment. We say that x is a random variable because the value that x takes on in a given experiment is a chance or random outcome.

Suppose we choose a student at random from the class (random experiment) and ask him/her for age, weight, and number of siblings. Age, weight, and number of siblings describe properties of a ...

Describe a discrete random variable, a Bernoulli experiment. Part A: A random variable is a numerical value determined by the outcome of an experiment. ...

Probability function, distribution, value of random variable. ... The random variable of interest is the number of defectives in the five items selected. ...

... binomial random variables, binomial distributions, and normal distributions. 1.) Explain the difference between a discrete and a continuous random variable. ...

... of people who respond to a certain mail-order solicitation is a random variable X having ... Probability, Random Variables and Density Functions are investigated. ...

Determination of expected value of a random variable. ... Determination of expected value of a random variable. Quantitative Analysis for Management. ...

... Suppose that x is a binomial random variable with n = 5, p = 0.2, and q = 0.8. ... The expert examines binomial random variables and binomial distirbutions. ...

continuous random variables. Which of the following are continuous random variables? I. the weight of an elephant. II. ... Continuous random variables are explained. ...

Binomial Probabilities and Binomial Random Variables. ... 2. If x is a binomial random variable, use the binomial table to determine the probability of x for each ...

Casino Gambling: Random Variables and Probability Distributions. ... This is the probability that the casino wins money.) Note that x is a normal variable, and let ...