Question

10 items have been selected from a production line to be inspected. Suppose the process is...

10 items have been selected from a production line to be inspected. Suppose the process is out of control and a defective item just as likely to occur as a non-defective item. Find the probability of the event Observe at least one defective item.

Homework Answers

Answer #1

This is a direct application of binomial distribution.

Let X be a number of defective item among 10 items.

P(defective) = P(non-defective) = p = 0.5

Here, X ~ Binomial ( n = 10, p =0.5)

probability mass function of X is,

P(X = x) = nCx px (1-p)n-x

We want to find, P(X >=1)

P(X >=1)

= 1 - P(X < 1)

= 1 - P(X = 0)

= 1 - [ 10C0 * (0.5)0 * (1 - 0.5)10-0 ]

= 1 - [ 1 * 1 * (0.5)10 ]

= 1 - 0.0009765625

= 0.9990234375

P(X >=1) = 0.9990234375

P(X >=1) = 0.9990 ( rounded to 4 decimal places)

Hence, the probability of the event Observe at least one defective item is 0.9990

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 machine is used in a production process. From past data, it is known that 97%...
A machine is used in a production process. From past data, it is known that 97% of the time the machine is set up correctly. Furthermore, it is known that if the machine is set up correctly, it produces 95% acceptable (non-defective) items. However, when it is set up incorrectly, it produces only 40% acceptable items. a. An item from the production line is selected. What is the probability that the selected item is non-defective? b. Given that the selected...
Suppose that defective items on a production line occur according to a Poisson distribution, at an...
Suppose that defective items on a production line occur according to a Poisson distribution, at an average rate of 3 defective items per hour. Let X count the number of defective items produced over a one-hour period. What is the probability that more than 4 defective items will be produced during the one-hour period?
(Normal Approximation) A process yields 2% defective items. Suppose 2500 items are randomly selected from the...
(Normal Approximation) A process yields 2% defective items. Suppose 2500 items are randomly selected from the process. Use the normal curve approximation (with half-unit correction) to find the probability that the number of defectives exceeds 55?
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?
Twenty-five samples of 100 items each were inspected when a process was considered to be operating...
Twenty-five samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 25 samples, a total of 180 items were found to be defective. (a)What is an estimate of the proportion defective when the process is in control? _________________. (b)What is the standard error of the proportion if samples of size 100 will be used for statistical process control? (Round your answer to four decimal places.) ________________. (c)Compute the upper and lower control...
For a manufacturing process, it has been determined that 5% of the product is defective. A...
For a manufacturing process, it has been determined that 5% of the product is defective. A random sample of 5 items has been selected. What is the probability that NONE of the items are defective? What is the probability that AT LEAST ONE of the items are defective?
A manufacturing firm produces a product that has a ceramic coating. The coating is baked on...
A manufacturing firm produces a product that has a ceramic coating. The coating is baked on to the​ product, and the baking process is known to produce 10​% defective items. Every​ hour, 25 products from the thousands that are baked hourly are sampled from the​ ceramic-coating process and inspected. Complete parts a through c. a. What is the probability that 5 defective items will be found in the next time sample of 25? The probability is ________ that 5 defective...
In a food production process, packaged items are sampled as they come off a production line,...
In a food production process, packaged items are sampled as they come off a production line, a random sample of 5 items from each production batch is checked to see if each is tightly parked. A batch is accepted if all 5 sample items are satisfactory, and rejected if there are 3 or more unsatisfactory packages in it; otherwise a further sample is taken before making a decision. If in fact the packing machine is giving 80% of items properly...
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)
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)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT