For the standard normal probability distribution, the area to the left of the mean is

1.   ?    greater than 0.5
2.   ?    -0.5
3.   ?    one
4.   ?    0.5
5.   ?    none of the above

If a z value is to the left of the mean, then its value is

1.   ?    negative
2.   ?    positive
3.   ?    any value between -¥to ¥
4.   ?    zero
5.   ?    e. none of the above

Assume z is a standard normal random variable. P(-1.50 < z < 1.90) equals

1.   ?    0.0381
2.   ?    0.9045
3.   ?    -0.0381
4.   ?    0.4
5.   ?    e. none of the above

Assume z is a standard normal random variable. P(-2.0 < z < -1.0) equals

1.   ?    a. 0.8185
2.   ?    b. 0.1469
3.   ?    c. 1.0000
4.   ?    d. 0.1359
5.   ?    e. none of the above

Assume z is the standard normal random variable. If the area between zero and z is 0.4115, then the z value may be

1.   ?    2.70
2.   ?    1.35
3.   ?    1.00
4.   ?    0.2077
5.   ?    none of the above

The travel time for a businesswoman traveling between Dallas and Fort Worth is uniformly distributed between 40 and 90 minutes. The probability that she will finish her trip in 80 minutes or less is

1.   ?    0.02
2.   ?    0.2
3.   ?    0.8
4.   ?    1.0
5.   ?    none of the above

A standard normal distribution is a normal distribution

1.   ?    with a mean of 1 and a standard deviation of 0
2.   ?    with any mean and any standard deviation
3.   ?    with a mean of 0 and any standard deviation
4.   ?    with a mean of 0 and a standard deviation of 1
5.   ?    none of the above

A normal probability distribution

1.   ?    is a discrete probability distribution
2.   ?    is a continuous probability distribution
3.   ?    can be either continuous or discrete
4.   ?    must always have a mean of zero
5.   ?    none of the above

The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 miles and a standard deviation of 5,000 miles. What is the probability that a randomly selected tire will have a life of at least 30,000 miles?

1.   ?    0.4772
2.   ?    0.9772
3.   ?    0.0228
4.   ?    none of the above

An exponential probability distribution

1.   ?    is a continuous distribution
2.   ?    is a discrete distribution
3.   ?    can be either continuous or discrete
4.   ?    none of the above