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Ch. 20 - Second Law of Thermodynamics
Giancoli Douglas - Physics for Scientists and Engineers 5th edition
Giancoli Douglas5th editionPhysics for Scientists and EngineersISBN: 9780137488179Non è quello che usi tu?Cambia libro di testo
Capitolo 20, Problema 62a

(II) Calculate the probabilities, when you throw two dice, of obtaining a 7.

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Understand the problem: When throwing two dice, each die has 6 faces numbered from 1 to 6. The total number of possible outcomes is 6 × 6 = 36, as each die is independent of the other.
Identify the favorable outcomes: To obtain a sum of 7, the possible pairs of numbers on the two dice are (1,6), (2,5), (3,4), (4,3), (5,2), and (6,1). This gives a total of 6 favorable outcomes.
Calculate the probability: The probability of an event is given by the formula: favorable outcomestotal outcomes. Substituting the values, the probability is 636.
Simplify the fraction: Simplify 636 to its lowest terms by dividing both the numerator and denominator by their greatest common divisor (GCD), which is 6.
Interpret the result: The simplified probability represents the likelihood of obtaining a sum of 7 when throwing two dice. This is the final step in solving the problem.

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Probability

Probability is a measure of the likelihood of an event occurring, expressed as a ratio of favorable outcomes to the total number of possible outcomes. In the context of rolling dice, it quantifies how likely it is to achieve a specific sum, such as 7, when two dice are thrown.
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Probability Distribution Graph

Sample Space

The sample space is the set of all possible outcomes of a random experiment. For two six-sided dice, the sample space consists of 36 outcomes, represented by the ordered pairs (1,1) through (6,6). Understanding the sample space is crucial for calculating probabilities accurately.
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Favorable Outcomes

Favorable outcomes refer to the specific results that satisfy the condition of interest—in this case, obtaining a sum of 7 when rolling two dice. There are six combinations that yield a sum of 7: (1,6), (2,5), (3,4), (4,3), (5,2), and (6,1). Identifying these outcomes is essential for calculating the probability.
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