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Homework answers / question archive / 1)"The probability of event B, given that event A has occurred" is known as a ________ probability

1)"The probability of event B, given that event A has occurred" is known as a ________ probability

Business

1)"The probability of event B, given that event A has occurred" is known as a ________ probability.

A) continuous

B) marginal

C) simple

D) conditional

 

 

2. Which distribution is helpful in testing hypotheses about variances?

A) binomial distribution

B)  f distribution

C) normal distribution

D) Poisson distribution

 

 

3. The expected value of a probability distribution is

A) the measure of the spread of the distribution.

B) the variance of the distribution.

C) the average value of the distribution.

D) the probability density function.

 

4.  Which of the following is not true for discrete random variables?

A) The expected value is the weighted average of the values.

B) They can assume only a countable number of values.

C) The probability of each value of the random variable must be 0.

D) The probability values always sum up to 1.

 

5. Properties of the normal distribution include

A) a continuous bell-shaped distribution.

B) a discrete probability distribution.

C) the number of trials is known and is either 1, 2, 3, 4, 5, etc.

D) the random variable can assume only a finite or limited set of values.

 

 

 

6.  Queuing Theory makes use of the

A) normal probability distribution.

B) uniform probability distribution.

C) binomial probability distribution.

D) Poisson probability distribution

7. The length of time that it takes the tollbooth attendant to service each driver can typically be described by the

A) normal distribution.

B) uniform distribution.

C) exponential distribution.

D) Poisson distribution.

 

 

8.  Which of these suggests a discrete random variable?

A) the exact time it takes to run a mile

B) the exact number of registered voters in your state

C) the exact amount of blood in a human body

D) the lifetime of a CF light bulb

 

 

9.  A random variable

A) is normally represented by an operator such as ≤ or ≥.

B) can be simultaneously continuous and discrete.

C) assigns a real number to every possible outcome or event in an experiment.

D) must represent only numerical values.

 

 10. Bayes' theorem is used to calculate

A) revised probabilities.

B) joint probabilities.

C) prior probabilities.

D) subjective probabilities

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