Hey guys ( or gals ) I have no idea what to do please help me.
1 answer:
Answer:
Irrational numbers cannot be written as a fraction, or the ratio of two whole numbers.
You would have to find a GCF (greatest common factor) and multiply it out of the radical.
ex.
= 2 x 2 x 2
when you have to multiplier numbers then you can combine two of them to take outside the radical, meaning 2x2x2
2
so would be closest to the positive 2 on the number line and 2 notches.
is an irrational number, so it might fall into 3.3 if turned into a decimal.
Step-by-step explanation:
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Answer:
Step-by-step explanation:
Hello!
There are 4 3D printers available to print drone parts, then be "Di" the event that the printer i printed the drone part (∀ i= 1,2,3,4), and the probability of a randomly selected par being print by one of them is:
D1 ⇒ P(D1)= 0.15
D2 ⇒ P(D2)= 0.25
D3 ⇒ P(D3)= 0.40
D4 ⇒ P(D4)= 0.20
Additionally, there is a chance that these printers will print defective parts. Be "Ei" represent the error rate of each print (∀ i= 1,2,3,4) then:
P(E1)= 0.01
P(E2)= 0.02
P(E3)= 0.01
P(E4)= 0.02
Ei is then the event that "the piece was printed by Di" and "the piece is defective".
You need to determine the probability of randomly selecting a defective part printed by each one of these printers, i.e. you need to find the probability of the part being printed by the i printer given that is defective, symbolically: P(DiIE)
Where "E" represents the event "the piece is defective" and its probability represents the total error rate of the production line:
P(E)= P(E1)+P(E2)+P(E3)+P(E4)= 0.01+0.02+0.01+0.02= 0.06
This is a conditional probability and you can calculate it as:
To reach the asked probability, first, you need to calculate the probability of the intersection between the two events, that is, the probability of the piece being printed by the Di printer and being defective Ei.
P(D1∩E)= P(E1)= 0.01
P(D2∩E)= P(E2)= 0.02
P(D3∩E)= P(E3)= 0.01
P(D4∩E)= P(E4)= 0.02
Now you can calculate the probability of the piece bein printed by each printer given that it is defective:
P(D2)= 0.25 and P(D2/E)= 0.33 ⇒ The prior probability of D2 is smaller than the posterior probability.
The fact that P(D2) ≠ P(D2/E) means that both events are nor independent and the occurrence of the piece bein defective modifies the probability of it being printed by the second printer (D2)
I hope this helps!