Join the IDNLearn.com community and start finding the answers you need today. Get prompt and accurate answers to your questions from our community of knowledgeable experts.
Sagot :
To determine the probability that a randomly selected person from the survey prefers either decaf coffee or coffee with sugar, we can use the principle of inclusion-exclusion from probability. Here's a detailed, step-by-step solution to the problem:
1. Identify the Individual Probabilities:
- First, we need to find the probability of selecting someone who prefers decaf coffee.
[tex]\( \text{P(decaf)} = \text{P(plain decaf)} + \text{P(sugar decaf)} + \text{P(creamer decaf)} \)[/tex]
Given the probabilities from the table:
[tex]\( \text{P(decaf)} = 0.05 + 0.08 + 0.09 = 0.22 \)[/tex]
- Next, determine the probability of selecting someone who prefers coffee with sugar.
[tex]\( \text{P(sugar)} = \text{P(sugar regular)} + \text{P(sugar decaf)} \)[/tex]
Given the probabilities from the table:
[tex]\( \text{P(sugar)} = 0.19 + 0.08 = 0.27 \)[/tex]
2. Determine the Probability of Both Events Occurring Together:
- In this context, the overlap between preferring decaf coffee and sugar coffee is the probability of someone preferring decaf sugar coffee.
[tex]\( \text{P(decaf and sugar)} = \text{P(sugar decaf)} \)[/tex]
From the table:
[tex]\( \text{P(decaf and sugar)} = 0.08 \)[/tex]
3. Use the Principle of Inclusion-Exclusion:
- To compute the probability of a person preferring either decaf coffee or coffee with sugar, we need to apply the principle of inclusion-exclusion:
[tex]\[ \text{P(decaf or sugar)} = \text{P(decaf)} + \text{P(sugar)} - \text{P(decaf and sugar)} \][/tex]
Substituting the values we have found:
[tex]\[ \text{P(decaf or sugar)} = 0.22 + 0.27 - 0.08 = 0.41 \][/tex]
Thus, the probability that a randomly selected person prefers either decaf coffee or coffee with sugar is [tex]\( \boxed{0.41} \)[/tex].
1. Identify the Individual Probabilities:
- First, we need to find the probability of selecting someone who prefers decaf coffee.
[tex]\( \text{P(decaf)} = \text{P(plain decaf)} + \text{P(sugar decaf)} + \text{P(creamer decaf)} \)[/tex]
Given the probabilities from the table:
[tex]\( \text{P(decaf)} = 0.05 + 0.08 + 0.09 = 0.22 \)[/tex]
- Next, determine the probability of selecting someone who prefers coffee with sugar.
[tex]\( \text{P(sugar)} = \text{P(sugar regular)} + \text{P(sugar decaf)} \)[/tex]
Given the probabilities from the table:
[tex]\( \text{P(sugar)} = 0.19 + 0.08 = 0.27 \)[/tex]
2. Determine the Probability of Both Events Occurring Together:
- In this context, the overlap between preferring decaf coffee and sugar coffee is the probability of someone preferring decaf sugar coffee.
[tex]\( \text{P(decaf and sugar)} = \text{P(sugar decaf)} \)[/tex]
From the table:
[tex]\( \text{P(decaf and sugar)} = 0.08 \)[/tex]
3. Use the Principle of Inclusion-Exclusion:
- To compute the probability of a person preferring either decaf coffee or coffee with sugar, we need to apply the principle of inclusion-exclusion:
[tex]\[ \text{P(decaf or sugar)} = \text{P(decaf)} + \text{P(sugar)} - \text{P(decaf and sugar)} \][/tex]
Substituting the values we have found:
[tex]\[ \text{P(decaf or sugar)} = 0.22 + 0.27 - 0.08 = 0.41 \][/tex]
Thus, the probability that a randomly selected person prefers either decaf coffee or coffee with sugar is [tex]\( \boxed{0.41} \)[/tex].
Thank you for contributing to our discussion. Don't forget to check back for new answers. Keep asking, answering, and sharing useful information. Thank you for visiting IDNLearn.com. For reliable answers to all your questions, please visit us again soon.