Question

Under the normal operating conditions, a machine produces microchips, percent of defective items equals to 53....

Under the normal operating conditions, a machine produces microchips, percent of defective items equals to 53. If 100 microchips are randomly sampled from the output, what is the probability that there are more than 15 defective chips in the sample?

Homework Answers

Answer #1

---------------------------------------------------------------------------------------------------------------------------

Know the answer?
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
Similar Questions
Ten percent of the items produced by a machine are defective. A random sample of 100...
Ten percent of the items produced by a machine are defective. A random sample of 100 items is selected and checked for defects. Round answers to four decimal places. A)What is the probability that the sample will contain more than 2.5% defective units? B)What is the probability that the sample will contain more than 13% defective units?
2. Ten percent of the items produced by a machine are defective. A random sample of...
2. Ten percent of the items produced by a machine are defective. A random sample of 100 items is selected and checked for defects. a. Determine the sampling error of the proportion. b. What is the probability that the sample proportion will contain more than 13% defective units? Formulas: ?=?−? ??̅= ? ?̅=? ??̅=√?(?−?) ? √? ? ?
A machine that manufactures automobile parts produces defective parts 15% of the time. If 6 parts...
A machine that manufactures automobile parts produces defective parts 15% of the time. If 6 parts produced by this machine are randomly selected, what is the probability that fewer than 2 of the parts are defective?
A machine is shut down for repairs if a random sample of 100 items selected from...
A machine is shut down for repairs if a random sample of 100 items selected from the daily output of the machine reveals at least 15% defectives. Suppose the machine is producing 20% defective items another day, what is the probability that a random sample of 10 items selected from the machine will contain at least two defective items? (Hint use the .5 continuity correction and the binomial distribution directly)
A manufacturing process produces 7.2% defective items. What is the probability that in a sample of...
A manufacturing process produces 7.2% defective items. What is the probability that in a sample of 56 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 1% 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 1% will be defective? (Round...
A manufacturing process produces 6.2% defective items. What is the probability that in a sample of...
A manufacturing process produces 6.2% defective items. What is the probability that in a sample of 48 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 2% 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 2% will be defective? (Round...
A machine is shut down for repairs if a random sample of 200 items selected from...
A machine is shut down for repairs if a random sample of 200 items selected from the daily output of the machine reveals at least 15% defectives. (Assume that the daily output has a large number of items.) If on a given day, the machine is producing only 10% defective items, what is the probability that it will be shut down? State and justify a condition that is required to apply a normal approximation to this binomial probability.
A machine produces an average of 10% defective bolts. A batch is accepted if a sample...
A machine produces an average of 10% defective bolts. A batch is accepted if a sample of 5 bolts take from that batch contains no defective, and rejected if the sample contains 3 or more defectives. In other cases, a second sample is taken. a) What is the probability that the second sample will be required? b) What is the probability that the sample is rejected? c) If 15 bolts are taken from a batch, how many bolts are expected...
A machine, when working properly, produces only 2% defective items. Periodically a sample is taken and...
A machine, when working properly, produces only 2% defective items. Periodically a sample is taken and tested to make sure that the machine is working properly. Suppose a random sample of 121 items produced by this machine was tested and was found to have 5 defective items at α=0.05, what is the critical proportion to compare to the sample proportion when deciding on whether the proportion of the population must be > 0.02? Answer in 4 decimal places. Please show...
1. It is known from past experience, that 10%(0.10) of the items produced by a machine...
1. It is known from past experience, that 10%(0.10) of the items produced by a machine are defective. In a new study, a random sample of 75 items will be selected and checked for defects. A. What is the Mean (expected value), Standard Deviation, and Shape of the sampling distribution of the sample proportion for this study? B. What is the probability that the sample proportion of defects is more than 13%(0.13)? C. What is the probability that the sample...