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Answer :
1. The probability that a labor-management dispute in this industry will be resolved without a strike is 0.475 or 47.5%.
2. The probability that if a labor-management dispute in this industry is resolved without a strike, it was over wages is approximately 0.5684 or 56.84%.
To solve these questions, we can use the information given and apply basic probability concepts.
Let's denote:
- W: Dispute over wages
- C: Dispute over working conditions
- F: Dispute over fringe issues
- S: Dispute resolved without a strike
1. To find the probability that a labor-management dispute will be resolved without a strike, we need to calculate P(S), the probability of resolving a dispute without a strike.
P(S) = P(S|W) × P(W) + P(S|C) × P(C) + P(S|F) × P(F)
Given information:
- P(S|W) = 45% (45 percent of disputes over wages are resolved without strikes)
- P(S|C) = 70% (70 percent of disputes over working conditions are resolved without strikes)
- P(S|F) = 40% (40 percent of disputes over fringe issues are resolved without strikes)
- P(W) = 60% (60 percent of all labor-management disputes are over wages)
- P(C) = 15% (15 percent of all labor-management disputes are over working conditions)
- P(F) = 25% (25 percent of all labor-management disputes are over fringe issues)
Plugging in the values:
P(S) = 0.45 × 0.60 + 0.70× 0.15 + 0.40 × 0.25
= 0.27 + 0.105 + 0.1
= 0.475
Therefore, the probability that a labor-management dispute in this industry will be resolved without a strike is 0.475 or 47.5%.
2. To find the probability that if a labor-management dispute is resolved without a strike, it was over wages, we need to calculate P(W|S), the probability of a dispute being over wages given that it was resolved without a strike. We can use Bayes' rule to calculate this.
P(W|S) = (P(S|W) × P(W)) / P(S)
Using the values already known:
P(W|S) = (0.45 × 0.60) / 0.475
= 0.27 / 0.475
≈ 0.5684
Therefore, the probability that if a labor-management dispute in this industry is resolved without a strike, it was over wages is approximately 0.5684 or 56.84%.
Learn more about Bayes' rule here:
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