YMS Chapter 7 Random Variables
Q1. A random variable is a variable whose value is a ________ of a random
phenomenon.
Q2. A random variable with a countable number of possible values is a _____ random
variable.
Q3. What is a probability distribution of a discrete random variable?
Q4. For the probability distribution of a discrete random variable, every probability is
between ___ and ___, and the sum of all the probabilities is equal to ___.
Q5. In a probability histogram, what quantity do the horizontal and vertical axes
represent, respectively?
Q6. A continuous random variable can take on how many values for a certain interval in
its domain?
Q7. A continuous random variable’s probability distribution is described by a graph
called the ___.
Q8.
Events, for continuous random variables, are described by the random variable’s
taking on a value within a certain interval. The probability of that event is represented by
what aspect of the density curve?
Q9. Suppose you have a continuous random variable X. What is the probability that
X=10?
Q10. In a continuous probability distribution, what is the relationship between the
probability that X<10 and the probability that X<=10?
Q11. True or false: the normal distribution is an example of a continuous probability
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 Spring '07
 Molina
 Statistics, Normal Distribution, Probability, Probability distribution, Probability theory, probability density function, Continuous probability distribution

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