k=0.75 A factory manufactures 1000k Ohm electrical resistors. Due to imperfections in the production, the resistors are not exactly 1000k Ohm, but have to be treated as a random variable which we will call X. The probability density function for X is a normal (Gaussian) distribution with mean 1000k and variance 40k. a) What is the probability that the resistance value of a randomly chosen resistor is higher than 1010k Ohms? b) What is the probability that the resistance value of a randomly chosen resistor is between 1020k and 990k Ohms? c) What is the value of c for which there is 88% probability that the resistance value is within the interval [1000k − c, 1000k + c]?

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k=0.75

A factory manufactures 1000k Ohm electrical resistors. Due to imperfections in the production, the resistors are not exactly 1000k Ohm, but have to be treated as a random variable which we will call X. The probability density function for X is a normal (Gaussian) distribution with mean 1000k and variance 40k.

a) What is the probability that the resistance value of a randomly chosen resistor is higher than 1010k Ohms?


b) What is the probability that the resistance value of a randomly chosen resistor is between 1020k and 990k Ohms?


c) What is the value of c for which there is 88% probability that the resistance value is within the interval [1000k − c, 1000k + c]?


d) Now let’s consider a second factory which also produces 1000k Ohm resistors. Again, due to imperfections in the production, the resistors are not exactly 1000k Ohms, but have to be treated as a random variable which we will call Y. The probability density function for Y is again a normal distribution with mean 1100k and variance 50k. You have two resistors X and Y, one from each factory. Let W be the average of these two resistors. Find the mean and variance for W.

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