1. A production process produces 2.5% defective parts. A sample of five parts from the production process is selected. What is the probability that the sample contains exactly two defective parts?

a.

0.2637

b.

0.0250

c.

0.0000

d.

0.0058

2. When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a _____distribution.

a.

Hypergeometric probability

b.

Poisson

c.

Normal

d. Binomial

3. To compute the probability that in a random sample of n elements, selected without replacement, we will obtain x successes, we would use the _____probability distribution.

a.

exponential

b.

Poisson

c.

hypergeometric

d.

binomial

4. In a binomial experiment the probability of success is 0.05. What is the probability of two successes in seven trials?

a.

0.0000

b.

0.0036

c.

0.0406

d.

0.3667

5. In a standard normal distribution, the

a.

mean is 1 and the standard deviation is 0.

b.

mean and the standard deviation can have any value.

c.

mean is 0 and the standard deviation is 1

d.

mean and the standard deviation are both 1.

6. For any continuous random variable, the probability that the random variable takes on exactly a specific value is

a.

0.

b.

any value between 0 to 1.

c.

0.50.

d.

1.00.

7. The standard deviation of a normal distribution

a.

is always 1.

b.

is always 0.

c.

can be any value.

d.

cannot be negative.

8. The probability density function for a uniform distribution ranging between 2 and 6 is

a.

0.25.

b.

any positive value.

c.

undefined.

d.

4.

9. zis a standard normal random variable. The probability when z is between -1.96 and 1.4 (inclusive) equals

a.

0.8942.

b.

0.0558.

c.

0.1058.

d.

0.9442.

10. x is a normally distributed random variable with a mean of 6 and a variance of 4. The probability that x is greater than 8.75 is

a.

0.0846.

b.

0.9154.

c.

0.0775.

d.

0.9225.