Question

a)  The defect rate for a wire making process has a Poisson distribution with 1.23 defects per...

a)  The defect rate for a wire making process has a Poisson distribution with 1.23 defects per 1000 feet. Let X be the number of defects widgets in a randomly-selected 1000-foot length of wire. What is the probability that there will be no defects in that length of wire? State your answer rounded to three decimal digits.

b) Let X be the net weight of a randomly-selected cereal box. The distribution of net weight for this filling process is uniformly-distributed between 451.8 and 459.1 grams. What is the probability that a randomly-selected box will have a net weight less than 454 grams? State your answer rounded to three decimal digits

Homework Answers

Answer #1

1).X : the number of defects widgets in a randomly-selected 1000-foot length of wire.

X~ poisson()

where, =  number of defects per 1000 feet = 1.23

the pmf of the distribution be:-

the probability that there will be no defects in that length of wire be:-

2).X : the net weight of a randomly-selected cereal box .

X ~ uniform (451.8,459.1)

the pdf of the distribution be:-

the probability that a randomly-selected box will have a net weight less than 454 grams be:-

***in case of doubt, comment below. And if u liked the solution, please like.

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) Let X be the net weight of a randomly-selected cereal box. The distribution of net...
a) Let X be the net weight of a randomly-selected cereal box. The distribution of net weight for this filling process is uniformly-distributed between 452.4 and 462.5 grams. What is the probability that a randomly-selected box will have a net weight less than 454 grams? State your answer rounded to three decimal digits b)The defect rate for a wire making process has a Poisson distribution with 1.04 defects per 1000 feet. Let X be the number of defects widgets in...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 15 ounces. a) The process standard deviation is 0.2, and the process control is set at plus or minus .5 standard deviations. Units with weights less than 14.9 or greater than 15.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?...
Motorola used the normal distribution to determine the probability of defects and the number of defects...
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 10 ounces. The process standard deviation is 0.1, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 9.8 or greater than 10.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In...
RStudio Problem: Defects in poured metal caused by contamination follows a Poisson distribution with average number...
RStudio Problem: Defects in poured metal caused by contamination follows a Poisson distribution with average number of occurrences being 2 per cubic millimeter. What is the probability that there will be at least three defects in a randomly selected cubic millimeter of this metal? To recieve credit verify your solution for the problem by R to grap the distribution. MUST use (dbinom, pbinom, qbinom, or rbinom) and plot().
Suppose that cracks occur on a section of highway according to a Poisson process with rate...
Suppose that cracks occur on a section of highway according to a Poisson process with rate parameter λ = 1.2 cracks per kilometre. For a randomly selected 5km section of the road let X be the random variable representing the number of cracks. (i) State the distribution of X. (ii) Find E(X) and var(X). (iii) Find P(X = 4). (iv) Suppose a repair crew drives from the beginning of the section. Find the proba- bility that they encounter at least...
1. An automobile manufacturer has determined that 33% of all gas tanks that were installed on...
1. An automobile manufacturer has determined that 33% of all gas tanks that were installed on its 2015 compact model are defective. If 16 of these cars are independently sampled, what is the probability that at least 6 of the sample need new gas tanks? 2. Use the Poisson Distribution Formula to find the indicated probability: Last winter, the number of potholes that appeared on a 9.0-mile stretch of a particular road followed a Poisson distribution with a mean of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT