# Question

1. The normal probability distribution is applied to

a. A continuous random variable

b. A discrete random variable

c. Any random variable

2. For a continuous random variable, the probability of a single value of x is always

a. Zero

b. 1.0

c. Between 0 and 1

3. Which of the following is not a characteristic of the normal distribution?

a. The total area under the curve is 1.0.

b. The curve is symmetric about the mean.

c. The two tails of the curve extend indefinitely.

d. The value of the mean is always greater than the value of the standard deviation.

4. The parameters of a normal distribution are

a. µ, z, and σ

b. µ and σ

c. µ, x, and σ

5. For the standard normal distribution,

a. µ = 0 and σ = 1

b. µ = 1 and σ = 0

c. µ = 100 and σ = 10

6. The z value for for a normal distribution curve is always

a. Positive

b. Negative

c. 0

7. For a normal distribution curve, the z value for an x value that is less than is always

a. Positive

b. Negative

c. 0

8. Usually the normal distribution is used as an approximation to the binomial distribution when

a. n > 30

b. np > 5 and nq > 5

c. n > 20 and p = .50

a. A continuous random variable

b. A discrete random variable

c. Any random variable

2. For a continuous random variable, the probability of a single value of x is always

a. Zero

b. 1.0

c. Between 0 and 1

3. Which of the following is not a characteristic of the normal distribution?

a. The total area under the curve is 1.0.

b. The curve is symmetric about the mean.

c. The two tails of the curve extend indefinitely.

d. The value of the mean is always greater than the value of the standard deviation.

4. The parameters of a normal distribution are

a. µ, z, and σ

b. µ and σ

c. µ, x, and σ

5. For the standard normal distribution,

a. µ = 0 and σ = 1

b. µ = 1 and σ = 0

c. µ = 100 and σ = 10

6. The z value for for a normal distribution curve is always

a. Positive

b. Negative

c. 0

7. For a normal distribution curve, the z value for an x value that is less than is always

a. Positive

b. Negative

c. 0

8. Usually the normal distribution is used as an approximation to the binomial distribution when

a. n > 30

b. np > 5 and nq > 5

c. n > 20 and p = .50

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