4. The values of resistors in a batch follow a normal distribution with a mean of 1 KS2 and a standard deviation of 100 2. Evaluate the probability of a resistor having a resistance a) More than 1.2 k 4. Z=x-M M=1000 5. 5=100. So M DC: 1.2K 0.8K 0.4K 1.IK. 2: +2 -2 -1 +1. a) P(x>1-2K52) = P(=>2) = 1-P(Z<2) = 1 - (0.5 +0.4773) 个 from table -0.0227.

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this is a practise question given by my lecturer. however they are on holiday so seeking help here. i dont understand why in his given working out that there is a 0.5 for the probability of x greater then 1.2 ohms. i understand that 1- the probability of x lesser then 1.2 = the probability of x greater then 1.2  and that 0.4773 is the probability of x = 1.2 . please may you explain this for me 

4. The values of resistors in a batch follow a normal distribution with a mean of 1 KS2 and a standard
deviation of 100 2. Evaluate the probability of a resistor having a resistance
a) More than 1.2 k
Transcribed Image Text:4. The values of resistors in a batch follow a normal distribution with a mean of 1 KS2 and a standard deviation of 100 2. Evaluate the probability of a resistor having a resistance a) More than 1.2 k
4.
Z=x-M
M=1000
5.
5=100.
So M
DC:
1.2K
0.8K
0.4K
1.IK.
2:
+2
-2
-1
+1.
a)
P(x>1-2K52) = P(=>2)
= 1-P(Z<2)
= 1 - (0.5 +0.4773)
个
from table
-0.0227.
Transcribed Image Text:4. Z=x-M M=1000 5. 5=100. So M DC: 1.2K 0.8K 0.4K 1.IK. 2: +2 -2 -1 +1. a) P(x>1-2K52) = P(=>2) = 1-P(Z<2) = 1 - (0.5 +0.4773) 个 from table -0.0227.
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