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ollegr [7]
3 years ago
10

A certain system can experience three different types of defects. Let Ai (i = 1, 2, 3) denote the event that the system has a de

fect of type i. Suppose that
P(A1) = .12 P(A2) = .07 P(A3) = .05

P(A1 U A2) = .13 P(A1 U A3) = .14

P(A2 U A3) = .10 P(A1 ∩ A2 ∩ A3) = .01

a) What is the probability that the system does not have a type 1 defect? (If this is A') then I don't need help on part a

b) What is the probability that the system has both type 1 and type 2 defects?

c) What is the probability that the system has both type 1 and type 2 defects but not a type 3 defect?

d) What is the probability that the system has at most two of these defects?
Mathematics
1 answer:
bulgar [2K]3 years ago
8 0

Answer:

a) 0.88

b) 0.06

c) 0.05

d) 0.99

Step-by-step explanation:

a) Yes you are right, Probability that the system does not have a type 1 defect = P(A1').

It can be calculated using the rule of probability:

   P(A1') = 1 - P(A1)

             = 1 - 0.12

   P(A1') = 0.88

b) The probability that the system has both type 1 and type 2 defects can be calculated by the following formula:

P(A1 ∪ A2) = P(A1) + P(A2)  - P(A1 ∩ A2)

By rearranging the above-mentioned equation, we get:

P(A1 ∩ A2) = P(A1) + P(A2)  - P(A1 U A2)

                   = 0.12 + 0.07 - 0.13

P(A1 ∩ A2) = 0.06

c) Here we need to find the probability that the system has both type 1 and type 2 defects (A1 ∩ A2) but not a type 3 defect which means we need the probability P (A1 ∩ A2 ∩ A3')

For that, we can use the law of probability:

<u>P(A1 ∩ A2) = P(A1 ∩ A2 ∩ A3) + P(A1 ∩ A2 ∩ A3')</u>

By rearranging the above-mentioned equation, we get:

P(A1 ∩ A2 ∩ A3') = P(A1 ∩ A2) - P(A1 ∩ A2 ∩ A3)

                            = 0.06 - 0.01

P(A1 ∩ A2 ∩ A3') = 0.05

d) To find out the probability that the system has at most two of these defects, we will use the probability that all 3 defects are present and subtract it from the total probability (i.e. 1).

<u>P(the system has at most two defects) = 1 - P(the system has all three defects)</u>

We know that the probability of the system having all three defects <u>P(A1 ∩ A2 ∩ A3) = 0.01</u>

So, P(the system has all three defects) = 1 - 0.01

     P(the system has all three defects) = 0.99

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Answer:

102

Step-by-step explanation:

We have the mean (m) 128.5 and the standard deviation (sd) 8.2, we must calculate the value of z for each one and determine whether or not it is an outlier:

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In the first case x = 148:

z = (148 - 128.5) /8.2

z = 2.37

In the second case x = 102:

z = (102 - 128.5) /8.2

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In the first case x = 152:

z = (152 - 128.5) /8.2

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The value of this is usually between -3 and 3, therefore when x is 102 it goes outside the range of the value of z, which means that this is the outlier.

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2x-2<1/2

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Among cases of heart pacemaker malfunctions, were found to be caused by firmware, which is software programmed into the device.
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Complete question is;

Among 8834 cases of heart pacemaker malfunctions, 504 were found to be caused by firmware, which is software programmed into the device. If the firmware is tested in three different pacemakers randomly selected from this batch of 8834 and the entire batch is accepted if there are no failures, what is the probability that the firmware in the entire batch will be accepted? Is this procedure likely to result in the entire batch being accepted?

Answer:

P(All three are not caused by firmware) = 83.84%

Probability that the entire batch will be accepted = 0.8384

Step-by-step explanation:

We are told that out of the 8834 cases of heart pacemaker malfunctions, 504 were found to be caused by firmware.

Thus,

Cases not caused by firmware = 8834 - 504 = 8330

So, probability of the first case not being affected by firmware is;

P(first case not caused by firmware) = 8330/8834

Also,

Probability of second case not being affected by firmware is given as;

P(second case not caused by firmware|first case not affected by firmware) = 8329/8833

Similarly,

Probability of third case not being affected by firmware is given as;

P(third case not caused by firmware|first and second not caused by firmware) = 8328/8832

Now, looking at the 3 Probabilities gotten, it is obvious that the events are not independent because the probability of occurence of one event depends on the probability of occurence of the other event.

Thus, we will make use of the general multiplication rule which is;

P(A & B) = P(B) × P(A|B)

Thus;

P(All three not caused by firmware) = P(first case not caused by firmware) × P(second case not caused by firmware|first case not affected by firmware) × P(third case not caused by firmware|first and second not caused by firmware)

Plugging in the relevant values, we have;

P(All three not caused by firmware) = (8330/8834) × (8329/8833) × (8328/8832)

P(All three are not caused by firmware) = 0.83840506679 ≈ 83.84%

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3 years ago
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