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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:** - \( P(M \text{ then } A) = \frac{1}{650} \) - \( P(M \text{ then } M) = 0 \) - \( P(A \text{ then } A) = 0 \) - \( P(\text{vowel then vowel}) = \frac{2}{65} \) - \( P(E \text{ then } T) = \frac{1}{650} \) - \( P(\text{vowel then } M) = \frac{1}{130} \)

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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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