Answer:
(a) 0.8186
(b) 0.0227
(c) 0.1587
Explanation:
To find the probabilities, we can use the cumulative distribution function (CDF) of the normal distribution.
Let X be the police response time. Then, X ~ N(6, 1.5^2).
(a) P(3 < X < 7) = P(X < 7) - P(X < 3)
Using the SALT program or a standard normal distribution table, we get:
P(X < 7) = P(Z < (7 - 6) / 1.5) = P(Z < 1) = 0.8413
P(X < 3) = P(Z < (3 - 6) / 1.5) = P(Z < -2) = 0.0227
So, P(3 < X < 7) = 0.8413 - 0.0227To find the probabilities, we can use the cumulative distribution function (CDF) of the normal distribution.
Let X be the police response time. Then, X ~ N(6, 1.5^2).
(a) P(3 < X < 7) = P(X < 7) - P(X < 3)
Using the SALT program or a standard normal distribution table, we get:
P(X < 7) = P(Z < (7 - 6) / 1.5) = P(Z < 1) = 0.8413
P(X < 3) = P(Z < (3 - 6) / 1.5) = P(Z < -2) = 0.0227
So, P(3 < X < 7) = 0.8413 - 0.0227 To find the probabilities, we can use the cumulative distribution function (CDF) of the normal distribution.
Let X be the police response time. Then, X ~ N(6, 1.5^2).
(a) P(3 < X < 7) = P(X < 7) - P(X < 3)
Using the SALT program or a standard normal distribution table, we get:
P(X < 7) = P(Z < (7 - 6) / 1.5) = P(Z < 1) = 0.8413
P(X < 3) = P(Z < (3 - 6) / 1.5) = P(Z < -2) = 0.0227
So, P(3 < X < 7) = 0.8413 - 0.0227 = 0.8186
(b) P(X < 3) = 0.0227
(c) P(X > 7) = 1 - P(X < 7) = 1 - 0.8413 = 0.1587