Pregunta
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6. What event is cemplementary to the event that the product is an even number? Determine the probability of beth events, 7. What is the sum of the probabilities of two complementary events? Explain why your answer makes sense.

Ask by Fleming Hardy. in the United States
Feb 03,2025

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The complementary event to "the product is an even number" is "the product is an odd number." The probability that the product is odd is 25%, and the probability that the product is even is 75%. The sum of these probabilities is always 1, which makes sense because the two events cover all possible outcomes.

Solución

Certainly! Let's tackle each question step by step. --- ### **6. Complementary Event to "Product is an Even Number" and Determining Their Probabilities** **a. Identifying the Complementary Event:** - **Original Event:** The product of two numbers is an even number. - **Complementary Event:** The product of two numbers is an **odd** number. **Why?** - In probability, complementary events encompass all possible outcomes that are not part of the original event. Since a product of two integers is either even or odd, these are complementary to each other. **b. Determining the Probabilities:** Let's consider a common scenario where this question might arise: **Rolling two fair six-sided dice**. 1. **Total Possible Outcomes:** - When rolling two dice, each die has 6 faces. - Total outcomes = 6 (first die) × 6 (second die) = **36** possible outcomes. 2. **Calculating Probability that the Product is Odd:** - For the product to be odd, **both numbers rolled must be odd**. - Odd numbers on a die: 1, 3, 5 (3 possibilities per die). - Number of outcomes where both dice show odd numbers = 3 (first die) × 3 (second die) = **9**. - Probability (Product is Odd) = Number of favorable outcomes / Total outcomes = 9/36 = **1/4** or **25%**. 3. **Calculating Probability that the Product is Even:** - Since the complementary event encompasses all other outcomes, we can use: - **Probability (Product is Even) = 1 - Probability (Product is Odd)** - Probability (Product is Even) = 1 - 1/4 = **3/4** or **75%**. --- ### **7. Sum of the Probabilities of Two Complementary Events** **Statement:** - The sum of the probabilities of two complementary events is always **1**. **Explanation:** - **Complementary Events Defined:** Two events are complementary if they are the only two possible outcomes, and they cannot occur simultaneously. In other words, one must occur, and the other cannot. - **Mathematically:** - Let Event A be "Product is Even." - Let Event B be "Product is Odd." - These are complementary: \( P(A) + P(B) = 1 \). - **Reasoning:** - Since the product must be either even or odd (no other possibilities exist in this context), the probabilities of these two exclusive events cover the entire sample space. - Therefore, adding their probabilities accounts for all possible outcomes, totaling to certainty, which is represented by the probability **1**. **Conclusion:** - This principle ensures that all possible outcomes are accounted for in probability calculations, maintaining the foundational axiom that the sum of all probabilities in a sample space is 1. --- I hope this clarifies both the concept of complementary events and how their probabilities relate!

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Beyond the Answer

If the event is that the product of two numbers is an even number, the complementary event would be that the product is an odd number. Since a product is only odd when both multiplicands are odd, you can calculate the probabilities based on the distribution of odd and even numbers in your sample space. For example, if you're rolling two dice, the probability of getting an even product is higher, as there are more combinations (any die showing an even number leads to an even product). The sum of the probabilities of two complementary events always equals 1. This makes sense because complementary events account for all possible outcomes within a given sample space. If one event occurs, the other cannot happen, leading to a complete probabilistic picture where the total certainty (1) is distributed across the two outcomes.

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