An oil company purchased an option on land in Alaska. Preliminary geologic studies assigned the following prior probabilities. P(high-quality oil) = 0.40 P(medium-quality oil) = 0.25 P(no oil) = 0.35 a. What is the probability of finding oil (to 2 decimals)? b. After 200 feet of drilling on the first well, a soil test is taken. The probabilities of finding the particular type of soil identified by the test are given below. P(soil|high-quality oil) = 0.20 P(soil|medium-quality oil) = 0.80 P(soil|no oil) = 0.20 Given the soil found in the test, use Bayes' theorem to compute the following revised probabilities (to 4 decimals). P(high-quality oil|soil)

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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An oil company purchased an option on land in Alaska. Preliminary geologic studies assigned the following prior probabilities.

- \( P(\text{high-quality oil}) = 0.40 \)
- \( P(\text{medium-quality oil}) = 0.25 \)
- \( P(\text{no oil}) = 0.35 \)

**a.** What is the probability of finding oil (to 2 decimals)?

[Input Box]

**b.** After 200 feet of drilling on the first well, a soil test is taken. The probabilities of finding the particular type of soil identified by the test are given below.

- \( P(\text{soil} \mid \text{high-quality oil}) = 0.20 \)
- \( P(\text{soil} \mid \text{medium-quality oil}) = 0.80 \)
- \( P(\text{soil} \mid \text{no oil}) = 0.20 \)

Given the soil found in the test, use Bayes' theorem to compute the following revised probabilities (to 4 decimals).

- \( P(\text{high-quality oil} \mid \text{soil}) \) [Input Box]
- \( P(\text{medium-quality oil} \mid \text{soil}) \) [Input Box]
- \( P(\text{no oil} \mid \text{soil}) \) [Input Box]

What is the new probability of finding oil (to 4 decimals)?

[Input Box]

According to the revised probabilities, what is the quality of oil that is most likely to be found?

[Dropdown Menu Options: High-quality, Medium-quality, No oil]
Transcribed Image Text:An oil company purchased an option on land in Alaska. Preliminary geologic studies assigned the following prior probabilities. - \( P(\text{high-quality oil}) = 0.40 \) - \( P(\text{medium-quality oil}) = 0.25 \) - \( P(\text{no oil}) = 0.35 \) **a.** What is the probability of finding oil (to 2 decimals)? [Input Box] **b.** After 200 feet of drilling on the first well, a soil test is taken. The probabilities of finding the particular type of soil identified by the test are given below. - \( P(\text{soil} \mid \text{high-quality oil}) = 0.20 \) - \( P(\text{soil} \mid \text{medium-quality oil}) = 0.80 \) - \( P(\text{soil} \mid \text{no oil}) = 0.20 \) Given the soil found in the test, use Bayes' theorem to compute the following revised probabilities (to 4 decimals). - \( P(\text{high-quality oil} \mid \text{soil}) \) [Input Box] - \( P(\text{medium-quality oil} \mid \text{soil}) \) [Input Box] - \( P(\text{no oil} \mid \text{soil}) \) [Input Box] What is the new probability of finding oil (to 4 decimals)? [Input Box] According to the revised probabilities, what is the quality of oil that is most likely to be found? [Dropdown Menu Options: High-quality, Medium-quality, No oil]
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