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Statistics chapter 4, 5

Terms in this set (7)

Random Variable
An outcome of a probability experiment. Therefore "x" is determined by chance.
What are the two types of random variables?
Discrete and continuous
Discrete random variable
When it has a countable number (not zero) of possible outcomes that can be listed. (is counted data). Ex: the amount of calls made by a telemarketer {0,1,2,3...}
Continuous random variable
When there is an uncountable number of possible outcomes, represented by an interval on a number line. (is measured data) Ex: the amount of hours a telemarketer spends making calls. it is impossible to list all values because there are too many to list (any and all values including decimals)
Discrete probability distribution
must satisfy these conditions. the probability of each value of the discrete random variable is between 0 and 1 (zero and 1 inclusive). or the sum of all the probabilities is 1
What is the significance of the mean of a probability distribution?
it is the expected value of a discrete random variable.
the expected value of a random variable can never be negative. true or false?
False: the expected value of a random variable can be negative.
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