Question

A factory produces screws. A screw has a probability of 0.01 to be defective. Screws are...

A factory produces screws. A screw has a probability of 0.01 to be defective. Screws are packed 10 per package. The company returns the customer’s money if more than 1 from 10 screws are defective in the package. What is the probability that the package bought by the customer will contain more than 1 defective screw?

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
A factory produces screws. A screw has a probability of 0.01 to be defective. Screws are...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 3. A factory produces screws in batches of 100,000. The probability that a screw is defective...

    3. A factory produces screws in batches of 100,000. The probability that a screw is defective is 0.01%. Assume that defects occur independently of each other. (a) Approximate the probability that 15 or more screws in a batch are defective using the normal approximation to the binomial distribution. (b) Approximate the probability that 3 or fewer screws in a batch are defective using the normal approximation to the binomial distribution. (c) Approximate the probability that 3 or fewer screws in...

  • I. A factory produces a type of micro chip with defective rate 0.5%. The chips are...

    I. A factory produces a type of micro chip with defective rate 0.5%. The chips are packaged as set of 10. Each set is considered as returnable if it contains more than 1 defective chips. (a) (10 points) What is the probability that a randomly chosen set is returnable? (b) (10 points) If a customer buys 10000 sets, approximate the probability that he will return more than 5 sets?

  • A machining process produces screws for which the population proportion of screws with defective threads is...

    A machining process produces screws for which the population proportion of screws with defective threads is .10 (10%). A new laser-enhanced process has become available and the developer claims that the population proportion of screws with defective threads will be less than .10. To test the validity of this claim, 900 screws produced by the new process are selected at random and the sample proportion of defectives is computed. This result will be used to make a decision as to...

  • Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items...

    Suppose machine 1 produces items that are independently defective with probability 0.01, machine 2 produces items that are independently defective with probability 0.02, and machine 3 produces items that are independently defective with probability 0.04. Suppose we purchase a box with 100 items in it, all of which were produced by the same machine. The box was produced by machine 1 with probability 0.5, by machine 2 with probability 0.3, and by machine 3 with probability 0.2. (a) Find the...

  • 1) Three dice are rolled. If each lands on a different number, find the probability that...

    1) Three dice are rolled. If each lands on a different number, find the probability that one is 3? 2) ) Three machines (A, B, C) manufacture screws. They manufacture 25%, 35%, and 40% of the screws, respectively. The output screws are defective at 2%, 3%, and 5%, respectively. If you choose a random screw produced at the factory and it is defective, what is the probability it came from each machine A, B, and C

  • A machine produces screws with a mean length of 1.4 cm and a standard deviation of...

    A machine produces screws with a mean length of 1.4 cm and a standard deviation of 0.3 cm. Assuming a normal distribution, find the probabilities that a screw produced by this machine has lengths A) greater than 2.3 cm, and B) within 1.6 standard deviations of the mean. Click here to view page 1 of the table. Click here to view page 2 of the table. A) The probability that a screw is longer than 2.3 cm is (Round to...

  • A manufacturing process produces 6.4% defective items. What is the probability that in a sample of...

    A manufacturing process produces 6.4% defective items. What is the probability that in a sample of 49 items: a. 10% or more will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             b. less than 2% will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             c. more than 10% or less than 2% will be defective? (Round...

  • A manufacturing process produces 5.5% defective items. What is the probability that in a sample of...

    A manufacturing process produces 5.5% defective items. What is the probability that in a sample of 51 items: a. 11% or more will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             b. less than 1% will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability             c. more than 11% or less than 1% will be defective? (Round...

  • A company has 2 factories that produce digital cameras, Factory A and Factory.B. Factory produces 3...

    A company has 2 factories that produce digital cameras, Factory A and Factory.B. Factory produces 3 times as many digital cameras as Factory A does. 23% of digital cameras produced by factory A are defective. 8% of digital cameras produced by Factory B are defective. What is the probability that a digital camera was produced by factory.B given that it is defective? (Round to nearest percentage) A. 20 B. 10 C.40 D. 51 m.

  • A manufacturing process produces 5.8% defective items. What is the probability that in a sample of...

    A manufacturing process produces 5.8% defective items. What is the probability that in a sample of 52 items: a. 9% or more will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability b. less than 2% will be defective? (Round the z-value to 2 decimal places and the final answer to 4 decimal places.) Probability c. more than 9% or less than 2% will be defective? (Round the z-value to 2...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT