Pregunta
upstudy study bank question image url

14. A card is drawn from a deck of 52 cards and a die is tossed. What is the probability of: a. Drawing a heart and tossing a 1? b. Drawing a heart or tossing a 1? c. Drawing a face card and tossing an even number? d. Drawing a face card or tossing an even number? 15. Two cards are selected from a deck of 52 cards without replacement. What is the probability of: a. Drawing two diamonds? b. Drawing a club and then a heart? c. Drawing two black cards? 16. A box contains 3 oranges, 2 apples, and 5 bananas: You reach in the box and draw 3 pieces of fruit. What is the probability that: a. All three are bananas? b. You draw a blnana, apple, and orange in that order. c. You draw no apples? d. You draw two banana, and then an orange in that order?

Ask by Sherman Logan. in the United States
Feb 26,2025

Solución de inteligencia artificial de Upstudy

Respuesta verificada por el tutor

Responder

**Problem 14: Card and Die** a. Probability of drawing a heart and tossing a 1: \( \frac{1}{24} \) b. Probability of drawing a heart or tossing a 1: \( \frac{3}{8} \) c. Probability of drawing a face card and tossing an even number: \( \frac{3}{26} \) d. Probability of drawing a face card or tossing an even number: \( \frac{8}{13} \) **Problem 15: Two Cards Without Replacement** a. Probability of drawing two diamonds: \( \frac{1}{17} \) b. Probability of drawing a club and then a heart: \( \frac{13}{204} \) c. Probability of drawing two black cards: \( \frac{25}{102} \) **Problem 16: Drawing Fruit** a. Probability of drawing three bananas: \( \frac{1}{12} \) b. Probability of drawing a banana, apple, and orange in that order: \( \frac{1}{24} \) c. Probability of drawing no apples: \( \frac{1}{12} \) d. Probability of drawing two bananas and then an orange in that order: \( \frac{1}{20} \)

Solución

Let's solve each of the problems step by step, extracting the known conditions and calculating the probabilities. ### Problem 14: Card and Die **Known Conditions:** - A standard deck has 52 cards. - There are 13 hearts in the deck. - A die has 6 faces (1 to 6). #### a. Drawing a heart and tossing a 1 The probability of drawing a heart (P(H)) is: \[ P(H) = \frac{13}{52} = \frac{1}{4} \] The probability of tossing a 1 (P(1)) is: \[ P(1) = \frac{1}{6} \] Since these two events are independent, the combined probability (P(H and 1)) is: \[ P(H \text{ and } 1) = P(H) \times P(1) = \frac{1}{4} \times \frac{1}{6} = \frac{1}{24} \] #### b. Drawing a heart or tossing a 1 Using the formula for the probability of the union of two independent events: \[ P(H \text{ or } 1) = P(H) + P(1) - P(H \text{ and } 1) \] Calculating: \[ P(H \text{ or } 1) = \frac{1}{4} + \frac{1}{6} - \frac{1}{24} \] Finding a common denominator (24): \[ P(H \text{ or } 1) = \frac{6}{24} + \frac{4}{24} - \frac{1}{24} = \frac{9}{24} = \frac{3}{8} \] #### c. Drawing a face card and tossing an even number There are 12 face cards in a deck (3 face cards in each of the 4 suits). The probability of drawing a face card (P(F)) is: \[ P(F) = \frac{12}{52} = \frac{3}{13} \] The even numbers on a die are 2, 4, and 6, so: \[ P(\text{even}) = \frac{3}{6} = \frac{1}{2} \] Thus, the combined probability is: \[ P(F \text{ and even}) = P(F) \times P(\text{even}) = \frac{3}{13} \times \frac{1}{2} = \frac{3}{26} \] #### d. Drawing a face card or tossing an even number Using the union formula: \[ P(F \text{ or even}) = P(F) + P(\text{even}) - P(F \text{ and even}) \] Calculating: \[ P(F \text{ or even}) = \frac{3}{13} + \frac{1}{2} - \frac{3}{26} \] Finding a common denominator (26): \[ P(F \text{ or even}) = \frac{6}{26} + \frac{13}{26} - \frac{3}{26} = \frac{16}{26} = \frac{8}{13} \] ### Problem 15: Two Cards Without Replacement **Known Conditions:** - A standard deck has 52 cards. #### a. Drawing two diamonds The probability of drawing the first diamond (P(D1)) is: \[ P(D1) = \frac{13}{52} \] The probability of drawing a second diamond after the first (P(D2|D1)) is: \[ P(D2|D1) = \frac{12}{51} \] Thus, the combined probability is: \[ P(D1 \text{ and } D2) = P(D1) \times P(D2|D1) = \frac{13}{52} \times \frac{12}{51} = \frac{156}{2652} = \frac{1}{17} \] #### b. Drawing a club and then a heart The probability of drawing a club first (P(C)) is: \[ P(C) = \frac{13}{52} \] The probability of drawing a heart after that (P(H|C)) is: \[ P(H|C) = \frac{13}{51} \] Thus, the combined probability is: \[ P(C \text{ and } H) = P(C) \times P(H|C) = \frac{13}{52} \times \frac{13}{51} = \frac{169}{2652} = \frac{13}{204} \] #### c. Drawing two black cards There are 26 black cards (13 clubs and 13 spades). The probability of drawing the first black card (P(B1)) is: \[ P(B1) = \frac{26}{52} \] The probability of drawing a second black card (P(B2|B1)) is: \[ P(B2|B1) = \frac{25}{51} \] Thus, the combined probability is: \[ P(B1 \text{ and } B2) = P(B1) \times P(B2|B1) = \frac{26}{52} \times \frac{25}{51} = \frac{650}{2652} = \frac{25}{102} \] ### Problem 16: Drawing Fruit **Known Conditions:** - 3 oranges, 2 apples, and 5 bananas (total 10 fruits). #### a. All three are bananas The probability of drawing three bananas (P(B1, B2, B3)) is: \[ P(B1) = \frac{5}{10}, \quad P(B2|B1) = \frac{4}{9}, \quad P(B3|B1, B2) = \frac{3}{8} \] Thus, the combined probability is: \[ P(B1 \text{ and } B2 \text{ and } B3) = \frac{5}{10} \times \frac{4}{9} \times \frac{3}{8} = \frac{60}{720} = \frac{1}{12} \] #### b. Drawing a banana, apple, and orange in that order The probability is: \[ P(B) = \frac{5}{10}, \quad P(A|B) = \frac{2}{9}, \quad P(O|B, A) = \frac{3}{8} \] Thus, the combined probability is: \[ P(B \text{ and } A \text{ and } O) = \frac{5}{10} \times \frac{2}{9} \times \frac{3}{8} = \frac{30}{720} = \frac{1}{24} \] #### c. Drawing no apples The total ways to draw 3 fruits from 10 is: \[ \

Respondido por UpStudy AI y revisado por un tutor profesional

error msg
Explicar
Simplifique esta solución

Extra Insights

Drawing cards and rolling dice has been a popular pastime for centuries! The concept of probability stems from early mathematics, dating back to the 16th century when gamblers sought to calculate their chances of winning. This playful math allowed them to strategize and make informed decisions. The advent of probability theory revolutionized not just gaming, but various fields like statistics and economics, impacting how we analyze risk and uncertainty today. Understanding probability in real life is like having a superpower! When you know the odds of events, you can make better decisions. For instance, knowing the probability of drawing certain cards can help you strategize during poker games. Beyond card games, probabilities are applicable in everyday scenarios like predicting weather events or assessing risks in investments. So whether you're gambling or just trying to figure out if you should carry an umbrella tomorrow, having a grasp on probabilities helps you navigate life's uncertainties!

preguntas relacionadas

Latest Probability Questions

¡Prueba Premium ahora!
¡Prueba Premium y hazle a Thoth AI preguntas de matemáticas ilimitadas ahora!
Quizas mas tarde Hazte Premium
Estudiar puede ser una verdadera lucha
¿Por qué no estudiarlo en UpStudy?
Seleccione su plan a continuación
Prima

Puedes disfrutar

Empieza ahora
  • Explicaciones paso a paso
  • Tutores expertos en vivo 24/7
  • Número ilimitado de preguntas
  • Sin interrupciones
  • Acceso completo a Respuesta y Solución
  • Acceso completo al chat de PDF, al chat de UpStudy y al chat de navegación
Básico

Totalmente gratis pero limitado

  • Solución limitada
Bienvenido a ¡Estudia ahora!
Inicie sesión para continuar con el recorrido de Thoth AI Chat
Continuar con correo electrónico
O continuar con
Al hacer clic en "Iniciar sesión", acepta nuestros términos y condiciones. Términos de Uso & Política de privacidad