Question
In a pack of special packs there are 12 packs. The probability of a gasket being...
In a pack of special packs there are 12 packs. The probability of a gasket being defective is 7%. A company has 53 independent packages of special packages.
TASK
What is the probability that there are a maximum of 51 defective packages in the 53 packages? Round your answer to 4 decimal places
Homework Answers
Answer #1
thank you.
Not the answer you're looking for?
Similar Questions
A bottler of soft drinks packages cans in six-packs. Suppose that the fill per can has...
A bottler of soft drinks packages cans in six-packs. Suppose
that the fill per can has an approximate normal distribution with a
mean of 11 fluid ounces and a standard deviation of 0.3 fluid
ounces.
(a)
What is the distribution of the total fill for a case of 24
cans? (Round your standard deviation to four decimal places.)
mean standard deviation
(b)
What is the probability that the total fill for a case is less
than 261 fluid ounces? (Round...
Mickey can steal 6 packs of cheese or 12 packs of olives in 60 minutes Minney...
Mickey can steal 6 packs of cheese or 12 packs of olives in 60
minutes
Minney can steal 3 packs of cheese or 4 packs of olives in 60
minutes
a.) When Mickey steals one pack of cheese, ______
pack of olives is/are lost (that is, not stolen) Please enter a
whole number, with no decimal point
b.) When Minney steals one pack of cheese, ____ packs of olives
is/are lost (that is, NOT stolen) Please enter a whole number, with...
1. A corporation produces packages of paper clips. The number of clips per package varies, as...
1. A corporation produces packages of paper clips. The number of
clips per package varies, as indicated below for a sample of 20
packages.
50
53
49
51
50
48
51
52
50
48
52
47
49
52
51
53
50
47
48
51
Create a histogram.
How many packages contain between 48 and 52 clips
(inclusive) per package?
Please specify your answer as an integer.
2. A corporation produces packages of paper clips. The number of
clips per package...
Kevin Pearson really wants a 1991 John Candelaria baseball card. He buys 16 packs of baseball...
Kevin Pearson really wants a 1991 John Candelaria baseball card.
He buys 16 packs of baseball cards at the store. Suppose each pack
has a 32% chance of having the card he wants. What is the
probability that... (input a decimal rounded to four places, or a
percent rounded to 2 decimal places)
a) exactly 3 of the packs he bought contain the card he
wants?
b) 10 or fewer of the packs contain his card?
c) at least 7...
A corporation produces packages of paper clips. The number of clips per package varies, as indicated...
A corporation produces packages of paper clips. The number of
clips per package varies, as indicated below for a sample of 20
packages.
51
47
52
49
50
52
53
50
48
51
49
47
50
49
51
51
52
53
48
49
Create a histogram.
How many packages contain between 47 and 53 clips
(inclusive) per package?
Please specify your answer as an integer.
A corporation produces packages of paper clips. The number of
clips per package varies, as...
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...
3 (a) In a certain town, 12 % of the population develop lung cancer. If 39...
3 (a) In a certain town, 12 % of the population develop lung
cancer. If 39 % of the population are smokers and 85% of those
developing lung cancer are smokers, what is the probability that a
smoker in this town will develop lung cancer? Write your answer as
a decimal accurate to three decimal places.
(b) A certain kind of light bulb has a 8.5 percent probability
of being defective. A store receives 54 light bulbs of this kind....
A manufacturer of computer chips claims that the probability of a defective chip is 0.004. The...
A manufacturer of
computer chips claims that the probability of a defective chip is
0.004. The manufacturer sells chips in batches of 600 to major
computer companies.
a.
How many defective chips would you expect in a batch?
(Round the final answer to 2 decimal places.)
Number of
chips
b.
What is the probability that none of the chips are defective in a
batch? (Round the final answer to 4 decimal
places.)
Probability
c.
What is the probability at least...
The probability of a manufacturing defect in an aluminum beverage can is .00007. If 100,500 cans...
The probability of a manufacturing defect in an aluminum
beverage can is .00007. If 100,500 cans are produced, find the
following probabilities.
(a)
At least six defective cans. (Round your answer to 4
decimal places.)
Probability
(b)
At least seven defective cans. (Round your answer to 4
decimal places.)
Probability
(c)
Is the Poisson approximation justified?
No
Yes
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 12 minutes ago
asked 24 minutes ago
asked 44 minutes ago
asked 54 minutes ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 1 hour ago
asked 2 hours ago
asked 2 hours ago