Question

In: Statistics and Probability

A manufacturing lot contains 40 items. It is known that 6 items are defective. A quality...

A manufacturing lot contains 40 items. It is known that 6 items are defective. A quality assurance engineer selects a random sample of 10 items and checks each to see if it is defective.

i. What is the mean and standard deviation of the number of defective items that she will sample. [4]

ii. What is the probability that she observes two or fewer defective items.

A road surface is being inspected for potholes. The number of potholes per kilometre is distributed as a Poisson random variable with rate parameter λ = 6.

i. What is the probability of not observing any potholes in a kilometre of road? [4]

ii. Suppose that an engineer inspects separate kilometre stretches of road until he observes one that contains potholes. What is the expected number of kilometre stretches of road that he will need to inspect before he observes one with potholes? [3]

iii. Suppose that 10 separate kilometre stretches of road are sampled at random. What is the expected value and standard deviation of the total number of potholes observed on the sampled roads?

Solutions

Expert Solution

Let X is a random variable shows the number of defective out of 10. Here X has hypergeometric distribution with following parameters

Population size: N = 40

Number of defective in population: M = 6

Sample size; n=10

(i)

(ii)

The probability that she observes two or fewer defective items is

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

Let X is a random number of potholes per kilometre. The pdf of X is

(i)

The probability of not observing any potholes in a kilometre of road is

(ii)

The probability of observing one potholes in a kilometre of road is

Using geometric distribution with parameter p = 0.0149 the expected number of kilometre stretches of road that he will need to inspect before he observes one with potholes is

1 / p = 1 / 0.0149 = 67.11

Answer: 67.11 or 67

(iii)

'Number of potholes in 10 separate kilometre stretches will be Poisson distribution with parameter λ = 6*10 = 60.

The expected value of the total number of potholes observed on the sampled roads is

The standard deviation of the total number of potholes observed on the sampled roads is


Related Solutions

Box A contains 7 items of which 2 are defective, and box B contains 6 items of which 1 is defective.
Box A contains 7 items of which 2 are defective, and box B contains 6 items of which 1 is defective. If an item is drawn at random from each box. Find the probability that both items are non- defective. 1/21 19/42 10/13 25/42
A lot of 100 items contains 10% which are defective and 90% nondefective. Two are chosen...
A lot of 100 items contains 10% which are defective and 90% nondefective. Two are chosen at random. Let A = {the first item non defective}, B = {the second item non defective}. Find P(B) and show P(B) = P(A). Why is this?
A box contains 10 items, of which 3 are defective and 7 are non-defective. Two items...
A box contains 10 items, of which 3 are defective and 7 are non-defective. Two items are randomly selected, one at a time, with replacement, and x is the number of defective items in the sample. To look up the probability of a defective item being drawn from the box, using a binomial probability table, what would be the values of n, x and p to look up?
A box of manufactured items contains 12 items of which 4 are defective. If 3 items...
A box of manufactured items contains 12 items of which 4 are defective. If 3 items are drawn at random without replacement, what is the probability that: 1. The first one is defective and rest are good 2. Exactly one of three is defective
The number of defective items in a manufacturing process is an example of _________ data. a...
The number of defective items in a manufacturing process is an example of _________ data. a discrete b continuous
Suppose that a bag contains 16 items of which 8 are defective. Four items are selected...
Suppose that a bag contains 16 items of which 8 are defective. Four items are selected at random without replacement. Find the probabilities that: Provide your answers in 2 d.p (decimal point) without space in between the values only one item is defective all selected items are non-defective all selected items are defective at least one of the selected items is defective
The number of defective items produced by a machine (Y) is known to be linearly related...
The number of defective items produced by a machine (Y) is known to be linearly related to the speed setting of the machine (X). Data is provided below. a) (3) Fit a linear regression function by ordinary least squares; obtain the residuals and plot the residuals against X. What does the residual plot suggest? b) (3) Plot the absolute value of the residuals and the squared residuals vs. X. Which plot has a better line? c) (4) Perform a weighted...
A lot of 1000 screws contains 30 that are defective. Two are selected at random, without...
A lot of 1000 screws contains 30 that are defective. Two are selected at random, without replacement, from the lot. Let A and B denote the events that the first and second screws are defective, respectively. (a) Prove whether or not A and B are independent events using mathematical expressions of probability.
From a lot containing 25 items, 5 of which are defective, 4 are chosen at random....
From a lot containing 25 items, 5 of which are defective, 4 are chosen at random. Let X be the number of defective items found. Obtain the probability distribution of X if (a) the items are chosen with replacement, (b) the items are chosen without replacement.
7) A shipment of 10 items contains 4 items which are defective. If we randomly select...
7) A shipment of 10 items contains 4 items which are defective. If we randomly select 4 of the items for inspection, what is the probability of at least 3 non-defective items in the sample? Assume sampling without replacement. a) 185/210 b) 184/210 c) 25/210 d) 115/210* e) 175/210
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT