Question \( 7 \mid 4 \) marks] The job of a chef culinary artist involves more than simply cooking food; it is about crafting an entire sensory experience where the five senses in human perception is in use. If a chef culinary artist's most used sense is Sight, the probability of that chef's clients' dining experience being of high quality is \( 71 \% \). If a chef culinary artist's most used sense is Hearing, the probability of the dining experience being of high quality is 23\%. If the most used sense is Smell, the probability of the dining experience being of high quality is \( 43 \% \); however, if the most used sense is Taste, the probability of the high-quality dining experience is \( 89 \% \). If the most used sense of the chef culinary artist is Touch, the likelihood of the high-quality dining experience is only \( 17 \% \). Of a batch of chef culinary artists, a survey revealed that the most used sense was Sight for \( 17 \% \) of them, Hearing for \( 2 \% \) of them, Smell for \( 31 \% \), Taste for \( 39 \% \), and Touch for \( 11 \% \) of them. i. A chef culinary artist is selected from the batch to manage the dining experience of some clients. Given that the chef's clients' dining experience is of high quality, what is the probability that the most used sense of the chef culinary artist was Sight or Taste?
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To find the probability that the most used sense of the chef culinary artist was Sight or Taste, given that the dining experience is of high quality, we can use Bayes' theorem. We'll first need the total probability of a high-quality dining experience, which is derived from the probabilities given for each sense: 1. **Calculating total probability of high-quality dining experience** \( P(H) \): \[ P(H) = P(H | \text{Sight}) \cdot P(\text{Sight}) + P(H | \text{Hearing}) \cdot P(\text{Hearing}) + P(H | \text{Smell}) \cdot P(\text{Smell}) + P(H | \text{Taste}) \cdot P(\text{Taste}) + P(H | \text{Touch}) \cdot P(\text{Touch}) \] \[ P(H) = (0.71 \cdot 0.17) + (0.23 \cdot 0.02) + (0.43 \cdot 0.31) + (0.89 \cdot 0.39) + (0.17 \cdot 0.11) \] Calculate this to find \( P(H) \). 2. **Finding \( P(Sight \text{ or } Taste | H) \) using Bayes' theorem**: - For Sight: \[ P(H | \text{Sight}) \cdot P(\text{Sight}) = 0.71 \cdot 0.17 \] - For Taste: \[ P(H | \text{Taste}) \cdot P(\text{Taste}) = 0.89 \cdot 0.39 \] Then sum both results and divide by \( P(H) \): \[ P(Sight \text{ or } Taste | H) = \frac{P(H | \text{Sight}) \cdot P(\text{Sight}) + P(H | \text{Taste}) \cdot P(\text{Taste})}{P(H)} \] Calculating this gives you the desired probability! In fun terms: It's like assembling a pizza with the perfect toppings—each sense contributes its unique flavor to the dining experience. And just like with flavors, some combinations yield a much tastier result than others!