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CHAPTER 7 The Binomial Distribution                                         115


                                            Discrete Probability Distributions


                     In mathematics, a variable can assume different values. For example, if one
                     records the temperature outside every hour for a 24-hour period, temperature
                     is considered a variable since it assumes different values. Variables whose
                     values are due to chance are called random variables. When a die is rolled, the
                     value of the spots on the face up occurs by chance; hence, the number of
                     spots on the face up on the die is considered to be a random variable. The
                     outcomes of a die are 1, 2, 3, 4, 5, and 6, and the probability of each outcome
                                 1
                     occurring is . The outcomes and their corresponding probabilities can be
                                 6
                     written in a table, as shown, and make up what is called a probability
                     distribution.


                                        Value, x        1  2   3  4  5   6
                                                        1  1   1  1  1   1
                                        Probability, P(x)
                                                        6  6   6  6  6   6


                        A probability distribution consists of the values of a random variable and
                     their corresponding probabilities.

                        There are two kinds of probability distributions. They are discrete and
                     continuous.A discrete variable has a countable number of values (countable
                     means values of zero, one, two, three, etc.). For example, when four coins are
                     tossed, the outcomes for the number of heads obtained are zero, one, two,
                     three, and four. When a single die is rolled, the outcomes are one, two, three,
                     four, five, and six. These are examples of discrete variables.
                        A continuous variable has an infinite number of values between any two
                     values. Continuous variables are measured. For example, temperature is a
                     continuous variable since the variable can assume any value between 108 and
                     208 or any other two temperatures or values for that matter. Height and
                     weight are continuous variables. Of course, we are limited by our measuring
                     devices and values of continuous variables are usually ‘‘rounded off.’’
                     EXAMPLE: Construct a discrete probability distribution for the number of
                     heads when three coins are tossed.

                     SOLUTION:
                     Recall that the sample space for tossing three coins is
                        TTT, TTH, THT, HTT, HHT, HTH, THH, and HHH.
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