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Modern Engineering Thermodynamics

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18.7 Introduction to Mathematical Probability 741<br />

18.7 INTRODUCTION TO MATHEMATICAL PROBABILITY<br />

If there are N mutually exclusive 4 equally likely outcomes of an experiment, M of which results in event A, then<br />

we write the probability of the occurrence of event A, P A ,as<br />

P A = M N<br />

(18.30)<br />

Now, if P A = 0, then event A is impossible and if P A = 1, then event A is a certainty. Generally, probabilities do<br />

not take on these extreme values but instead lie somewhere in the region<br />

0 ≤ P A ≤ 1<br />

Let ~P A be the probability of event Anotoccurring. Then, because it is a certainty that either event A will occur<br />

or it will not occur, we can write<br />

P A + P A = 1<br />

EXAMPLE 18.5<br />

a. Consider the toss of a single evenly weighted die. What are the six possible mutually exclusive results that can occur?<br />

b. Now consider the toss of a pair of evenly weighted dice and add their individual results. What is the probability of each<br />

of the resulting sums?<br />

c. What is the most probable sum in item b?<br />

Solution<br />

a. Since the die is an evenly weighted cube, all six sides have the same probability of landing face up, so we have N = 6.<br />

Consequently the six possible mutually exclusive results are<br />

Also, we can write<br />

P 1 = P 2 = P 3 = P 4 = P 5 = P 6 = 1=6<br />

P 1 = P 2 = P 3 = P 4 = P 5 = P 6 = 5=6<br />

b. The total number of combinations of results is shown in Table 18.4. From this table, it is seen that N = 6 × 6 = 36.<br />

Using this table, we can construct an event vs. frequency table, as shown in Table 18.5. Thus, we can compute the<br />

following probabilities for the sum of the results of the individual die:<br />

P 0 = P 1 = 0 P 5 = P 9 = 4=36 = 1=9<br />

P 2 = P 12 = 1=36 P 6 = P 8 = 5=36<br />

P 3 = P 11 = 2=36 = 1=18 P 7 = 6=36 = 1=6<br />

P 4 = P 10 = 3=36 = 1=12<br />

c. From Table 18.5, it is clear that in the toss of two evenly weighted dice, the number 7 is the most probable outcome,<br />

appearing on the average of once every six tosses. It has a probability given by Eq. (18.30) of<br />

P 7 = 1=6 = 0:1667 = 16:67%<br />

Exercises<br />

13. If you toss an evenly weighted die, what is the probability that it will come up with an even number? Answer: P(even<br />

number) = 1/2.<br />

14. Suppose you have a four-sided instead of a six-sided die. How many outcomes for the sum when tossing two such dice<br />

are possible, and what is the most probable outcome for the sum and what is its probability? Answer: M = 16, and<br />

most probable sum = 5 (from 1 + 4, 4 + 1, 2 + 3, and 3 + 2), then P(most probable) = P 5 = 4/16 = 0.25.<br />

15. The probability of X not occurring is simply P(not X) = 1 − P(X). Using this concept, determine the probability of not<br />

throwing a 7 as the sum of two six-sided dice. Answer: P(not 7) = 1 − P(7) = 1 − 1/6 = 5/6.<br />

(Continued )<br />

4 Mutually exclusive means that no two of the N outcomes can occur simultaneously.

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