Q ) Suppose the current measurements in a strip of wire are assumed to follow a normal distribution with a mean of 10 milliamperes and a standard deviation of 2 milliamperes.

The probability that a current measurement will exceed 13 milliamperes is:

(A) 0.99

(B) 0.0668

(C) 0.889

(D) 0.250

The probability that a current measurement is between 9 and 11 milliamperes is:

(A) 0.99

(B) 0.95

(C) 0.889

(D) 0.383

Assume Z has a standard normal distribution, such that P(-1.24 < Z < k) = 0.8147, then k is equal to:

(A) 0.9222

(B) 0.1075

(C) 1.24

(D) 1.42

If X is a normal random variable with a mean of 15 and a standard deviation of 3, then P(X = 18) is:

(A) 1.00

(B) 0.58

(C) 0.00

(D) 0.56

Suppose that family incomes in a town are normally distributed with a mean of $1,200 and a standard deviation of $600 per month. The probability that a given family has an income over $1,200 per month is:

(A) 0.25

(B) 0.00

(C) 0.50

(D) 0.95