Pregunta
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Iwo cards are drawn at random with replacement. Find each probability. 7. \( P( \) M...then \( A) 1 / 24 \) 9. \( P(1 \). then \( T) 1 / 7.2 \) 8. \( P( \) not \( M \), then \( A) 5 / 2 U \) 10. \( P \) (vowel, then vowel) Iwo cards are drawn at random without replacement. Find each probability. 11. \( P(M \), then \( A) \) 13. \( P(M \). then \( M) \) 12. \( P(A \), then \( A) \) 15. \( P \) (vowel. then vowel) 14. \( P(E \), then \( T) \) 16. \( P( \) vowel, then \( M) \)

Ask by Paul Murphy. in the United States
Mar 17,2025

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Here are the probabilities for drawing two cards: **With Replacement:** - \( P(M \text{ then } A) = \frac{1}{676} \) - \( P(1 \text{ then } T) = \frac{1}{676} \) - \( P(\text{not } M \text{ then } A) = \frac{25}{676} \) - \( P(\text{vowel then vowel}) = \frac{25}{676} \) **Without Replacement:** - \( P(M \text{ then } A) = \frac{1}{650} \) - \( P(M \text{ then } M) = 0 \) - \( P(A \text{ then } A) = 0 \) - \( P(\text{vowel then vowel}) = \frac{2}{65} \) - \( P(E \text{ then } T) = \frac{1}{650} \) - \( P(\text{vowel then } M) = \frac{1}{130} \)

Solución

To solve the probability problems, we need to clarify the context and the total number of cards involved. Let's assume we have a standard deck of 26 cards (A-Z) for the calculations. ### With Replacement 1. **Problem 7: \( P(M \text{ then } A) \)** - The probability of drawing \( M \) first is \( \frac{1}{26} \). - The probability of drawing \( A \) second (with replacement) is also \( \frac{1}{26} \). - Therefore, \( P(M \text{ then } A) = P(M) \times P(A) = \frac{1}{26} \times \frac{1}{26} = \frac{1}{676} \). 2. **Problem 9: \( P(1 \text{ then } T) \)** - Assuming \( 1 \) refers to a specific card (not in a standard deck), we will treat it as a unique event. - The probability of drawing \( 1 \) is \( \frac{1}{26} \) (if it exists). - The probability of drawing \( T \) is \( \frac{1}{26} \). - Therefore, \( P(1 \text{ then } T) = \frac{1}{26} \times \frac{1}{26} = \frac{1}{676} \). 3. **Problem 8: \( P(\text{not } M \text{ then } A) \)** - The probability of not drawing \( M \) is \( \frac{25}{26} \). - The probability of drawing \( A \) is \( \frac{1}{26} \). - Therefore, \( P(\text{not } M \text{ then } A) = \frac{25}{26} \times \frac{1}{26} = \frac{25}{676} \). 4. **Problem 10: \( P(\text{vowel then vowel}) \)** - There are 5 vowels (A, E, I, O, U). - The probability of drawing a vowel first is \( \frac{5}{26} \). - The probability of drawing a vowel second (with replacement) is also \( \frac{5}{26} \). - Therefore, \( P(\text{vowel then vowel}) = \frac{5}{26} \times \frac{5}{26} = \frac{25}{676} \). ### Without Replacement 1. **Problem 11: \( P(M \text{ then } A) \)** - The probability of drawing \( M \) first is \( \frac{1}{26} \). - After drawing \( M \), there are 25 cards left, and the probability of drawing \( A \) is \( \frac{1}{25} \). - Therefore, \( P(M \text{ then } A) = \frac{1}{26} \times \frac{1}{25} = \frac{1}{650} \). 2. **Problem 13: \( P(M \text{ then } M) \)** - The probability of drawing \( M \) first is \( \frac{1}{26} \). - After drawing \( M \), there are no more \( M \) cards left, so the probability of drawing \( M \) again is \( 0 \). - Therefore, \( P(M \text{ then } M) = 0 \). 3. **Problem 12: \( P(A \text{ then } A) \)** - The probability of drawing \( A \) first is \( \frac{1}{26} \). - After drawing \( A \), there are 25 cards left, and the probability of drawing \( A \) again is \( 0 \). - Therefore, \( P(A \text{ then } A) = 0 \). 4. **Problem 15: \( P(\text{vowel then vowel}) \)** - The probability of drawing a vowel first is \( \frac{5}{26} \). - After drawing a vowel, there are 4 vowels left out of 25 cards. - Therefore, \( P(\text{vowel then vowel}) = \frac{5}{26} \times \frac{4}{25} = \frac{20}{650} = \frac{2}{65} \). 5. **Problem 14: \( P(E \text{ then } T) \)** - The probability of drawing \( E \) first is \( \frac{1}{26} \). - After drawing \( E \), the probability of drawing \( T \) is \( \frac{1}{25} \). - Therefore, \( P(E \text{ then } T) = \frac{1}{26} \times \frac{1}{25} = \frac{1}{650} \). 6. **Problem 16: \( P(\text{vowel then } M) \)** - The probability of drawing a vowel first is \( \frac{5}{26} \). - After drawing a vowel, the probability of drawing \( M \) is \( \frac{1}{25} \). - Therefore, \( P(\text{vowel then } M) = \frac{5}{26} \times \frac{1}{25} = \frac{5}{650} = \frac{1}{130} \). ### Summary of Probabilities - With Replacement: - \( P(M \text{ then } A) = \frac{1}{676} \) - \( P(1 \text{ then } T) = \frac{1}{676} \) - \( P(\text{not } M \text{ then } A) = \frac{25}{676} \) - \( P(\text{vowel then vowel}) = \frac{25}{676} \) - Without Replacement: - \( P(M \text{ then } A) = \frac{1}{650} \) - \( P(M \text{ then } M) = 0 \) - \( P(A \text{ then } A) = 0 \) - \( P(\text{vowel then vowel}) = \frac{2}{65} \) - \( P(E \text{ then } T) = \frac{1}{650} \) - \( P(\text{vowel then } M) = \frac{1}{130} \)

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Extra Insights

Drawing cards from a deck can be likened to a probability treasure hunt where each pick reveals a hidden gem of statistics! For your drawn probabilities with replacement, consider the outcomes of drawing cards like flavor combinations in ice cream. With replacement, the probabilities remain constant since the deck is reset each time. For instance, finding \(P(\) M...then \( A) = 1/24\) just means that the new card draws are independent of the prior! Now, when drawing without replacement, you're in a different ballgame! Each card drawn impacts the next, akin to solving a puzzle where each piece affects the eventual picture. For instance, calculating \( P(M \), then \( A) \) requires considering one less card in the total for the second draw. That dynamic shift in available options makes these calculations quite engaging—every draw unfolds a new layer in the probability adventure!

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