Question

A process yields 17% defective items. If 50 items are randomly selected from the process, what...

A process yields 17% defective items. If 50 items are randomly selected from the process, what is an approximate probability that the number of defectives (a) exceeds 13? (b) is less than 3? (c) provide an exact expressions for probabilities in (a) and (b)

Homework Answers

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
A batch of 100 items is inspected by testing 4 randomly selected items. If 1 of...
A batch of 100 items is inspected by testing 4 randomly selected items. If 1 of the 4 is defective, the batch is rejected. What is the probability that the batch is accepted if it contains 10 defectives?
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 sample of 20 different iPads is randomly selected from a production batch containing 3% defectives....
A sample of 20 different iPads is randomly selected from a production batch containing 3% defectives. What is the probability that exactly 4 are working properly? What is the probability that at most one from the 20 randomly selected is defective?
suppose 2% of items produced from as assembly line are defective if we sample 10 items...
suppose 2% of items produced from as assembly line are defective if we sample 10 items what is the probability that 2 or more are defective ?here count follows the binomial distribution. suppose now that we sample 10 items from a small collection like 20 items and count the number of defectives. resulting random variable is not binomial .why not?
The table lists the number of defective 60-watt lightbulbs found in samples of 100 bulbs selected...
The table lists the number of defective 60-watt lightbulbs found in samples of 100 bulbs selected over 25 days from a manufacturing process. Assume that during this time the manufacturing process was not producing an excessively large fraction of defectives. Day 1 2 3 4 5 6 7 8 9 10 Defectives 5 3 5 8 4 5 4 6 6 2 Day 11 12 13 14 15 16 17 18 19 20 Defectives 3 5 4 4 1 2...
The table lists the number of defective 60-watt lightbulbs found in samples of 100 bulbs selected...
The table lists the number of defective 60-watt lightbulbs found in samples of 100 bulbs selected over 25 days from a manufacturing process. Assume that during this time the manufacturing process was not producing an excessively large fraction of defectives. Day 1 2 3 4 5 6 7 8 9 10 Defectives 5 2 6 8 4 4 5 6 7 2 Day 11 12 13 14 15 16 17 18 19 20 Defectives 2 5 3 4 1 3...
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 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)
The proportion of defective items is not allowed to be over 12%. A buyer wants to...
The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 17 are defective. State the null and alternative hypotheses for this test. H0: π = 0.12 versus Ha: π = 0.17 H0: π = 0.12 versus Ha: π > 0.12 H0: π = 0.17 versus Ha: π...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT