Math Problem Statement
The Brockingham Carpet Company prides itself on high quality carpets. At the end of each day, the company quality managers select 3 square yards for inspection. The quality standard requires an average of no more than 2.3 defects per square yard. Last night, the inspector found 8 defects in the sample of 3 square yards. The chance of finding 8 or more defects in the sample is 0.9975. Question content area bottom Part 1
True
False
Solution
The problem states that the quality standard requires an average of no more than 2.3 defects per square yard, and the inspector found 8 defects in a sample of 3 square yards. To check if the inspector's findings meet the standard, we can compare this scenario against the given chance (0.9975) of finding 8 or more defects.
Analysis:
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Expected number of defects in 3 square yards (based on standard):
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The inspector found 8 defects, which is slightly higher than the expected number of 6.9.
However, the chance of finding 8 or more defects is 0.9975 (or 99.75%).
This means it is very likely to find 8 or more defects under these conditions. Since the probability of finding 8 or more defects is almost certain (99.75%), the quality standard is not being violated.
Answer: True
The chance of finding 8 or more defects in the sample is indeed 0.9975.
Would you like a deeper explanation or more questions on this topic?
Here are five related questions:
- What is the expected number of defects for a 5-yard sample under the same standard?
- How would the probability change if the standard allowed for 3 defects per square yard?
- What is the probability of finding exactly 8 defects in this 3 square-yard sample?
- How could we calculate the probability of finding fewer than 8 defects?
- How would the analysis change if the sample size increased to 6 square yards?
Tip: When calculating probabilities of events, always compare them to expected outcomes to determine the likelihood of unusual occurrences.
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Math Problem Analysis
Mathematical Concepts
Probability
Expected Value
Defects per Unit
Formulas
Expected Defects = Average Defects per Yard × Number of Yards
Probability of X or more events
Theorems
Poisson Distribution
Expected Value Theorem
Suitable Grade Level
Grades 10-12
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