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 8 minutes ago
asked 11 minutes ago
asked 14 minutes ago
asked 15 minutes ago
asked 22 minutes ago
asked 24 minutes ago
asked 26 minutes ago
asked 29 minutes ago
asked 31 minutes ago
asked 32 minutes ago
asked 36 minutes ago
asked 36 minutes ago