4. COMPUTER CHIPS. For a certain type of computer chip, the proportion of chips that are defective is 0.10. A computer manufacturer receives a shipment of 200 chips. a. Is it appropriate to use the normal distribution to find probabilities for p? b. What is the probability that the proportion of defective chips in the shipment is between 0.08 and 0.15? c. Would it be unusual for the proportion of defective ships to be less than 0.075?

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### 4. Computer Chips

For a certain type of computer chip, the proportion of chips that are defective is 0.10. A computer manufacturer receives a shipment of 200 chips.

#### Questions:
a. Is it appropriate to use the normal distribution to find probabilities for \( p \)?

b. What is the probability that the proportion of defective chips in the shipment is between 0.08 and 0.15?

c. Would it be unusual for the proportion of defective chips to be less than 0.075?

---

This problem involves applying statistical concepts to a real-world scenario involving defective computer chips. The focus is on understanding the appropriateness of using the normal distribution and interpreting probabilities in the context of quality control.
Transcribed Image Text:### 4. Computer Chips For a certain type of computer chip, the proportion of chips that are defective is 0.10. A computer manufacturer receives a shipment of 200 chips. #### Questions: a. Is it appropriate to use the normal distribution to find probabilities for \( p \)? b. What is the probability that the proportion of defective chips in the shipment is between 0.08 and 0.15? c. Would it be unusual for the proportion of defective chips to be less than 0.075? --- This problem involves applying statistical concepts to a real-world scenario involving defective computer chips. The focus is on understanding the appropriateness of using the normal distribution and interpreting probabilities in the context of quality control.
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