Free Practice Quiz Question List

6 Common Probability Models Online Quiz Questions

Use this free practice quiz with 20 questions to review 6 Common Probability Models, test your knowledge, and prepare for your next test or exam.

20 questions
01
Choose one
1 point

Which quantity is most naturally modeled as a continuous random variable?

  1. A

    The number of defective items in a sample

  2. B

    The measurement error of a device

  3. C

    The number of customers arriving in an hour

  4. D

    The number of trials before the first success

02
True or false
1 point

True or false: If XX is a continuous random variable, then P(X=a)=0P(X=a)=0 for every single value aa.

  1. A

    True

  2. B

    False

03
Written response
1 point

A support center makes independent calls, each with the same probability of resolving a customer's issue. Which distribution models the number of calls required until the first resolution?

04
Fill in the blank
1 point

Complete the two binomial-model conditions: There must be a of trials, and the trials must be .

05
Choose one
1 point

A box contains 12 light bulbs, 3 of which are defective. Four bulbs are selected without replacement, and the number of defective bulbs is recorded. Which probability model is most appropriate?

  1. A

    A fixed number of independent trials with the same success probability

  2. B

    The waiting time until the first success

  3. C

    Sampling a finite population without replacement and counting successes

  4. D

    The number of events in a time interval with a stable average rate

06
Choose all
1 point

Which two conditions are required for a standard binomial model? Select all correct choices.

  1. A

    There are exactly nn trials.

  2. B

    The waiting process must continue until the first success.

  3. C

    The trials are independent, or sufficiently close to independent.

  4. D

    The event rate must be constant over a time interval.

07
True or false
1 point

True or false: If X∼Poisson⁡(λ)X\sim\operatorname{Poisson}(\lambda), then E(X)=Var⁡(X)=λE(X)=\operatorname{Var}(X)=\lambda.

  1. A

    True

  2. B

    False

08
Written response
1 point

Adult heights are modeled by X∼N(68,32)X\sim N(68,3^2), where height is measured in inches. What is the z-score for a height of 74 inches?

09
Fill in the blank
1 point

The exponential distribution models a waiting time until the next event in a Poisson process and has the .

10
Choose one
1 point

A bus arrives at a random time during a 12-minute interval, with all arrival times equally likely. What is the probability that the waiting time is no more than 3 minutes?

  1. A

    0.10

  2. B

    0.25

  3. C

    0.50

  4. D

    0.75

11
Choose all
1 point

Which two scenarios are naturally modeled by a geometric or negative binomial distribution? Select all correct choices.

  1. A

    The number of trials needed to obtain the first success

  2. B

    The number of successes in 20 independent trials

  3. C

    The number of trials needed to obtain the fifth success

  4. D

    The number of successes in a sample drawn without replacement

12
Open ended
1 point

A quality inspector selects several items from a finite shipment without replacement and counts the defective items. Explain why the hypergeometric distribution is appropriate, how its assumptions differ from those of the binomial distribution, and when a binomial approximation might be reasonable.

13
Choose one
1 point

Which statement best describes the central limit theorem for a sample mean based on independent observations with mean μ\mu and standard deviation σ\sigma?

  1. A

    It becomes exactly uniform regardless of the population.

  2. B

    Its standard deviation becomes σn\sigma\sqrt{n}.

  3. C

    It becomes approximately normal under suitable conditions, with standard deviation σn\frac{\sigma}{\sqrt{n}}.

  4. D

    It must have the same distributional shape as the original population.

14
Choose one
1 point

Which statement about a continuous random variable is correct?

  1. A

    A continuous random variable must have a probability greater than zero at every exact value.

  2. B

    For a continuous random variable, the probability of any single exact value is zero.

  3. C

    A continuous random variable can take only a finite number of values.

  4. D

    A continuous random variable must have equal probability on every interval of the same length.

15
True or false
1 point

True or false: Selecting 10 items without replacement from a small shipment and counting the defective items is automatically a binomial experiment.

  1. A

    True

  2. B

    False

16
Choose one
1 point

A website observes whether each of 200 independently selected visitors makes a purchase, with the same purchase probability for every visitor. Which probability model describes the number of purchases?

  1. A

    Binomial

  2. B

    Geometric

  3. C

    Poisson

  4. D

    Exponential

17
Choose one
1 point

A box contains 30 components, 6 of which are defective. Four components are selected without replacement, and the number of defectives is recorded. Which model is most appropriate?

  1. A

    Binomial

  2. B

    Poisson

  3. C

    Hypergeometric

  4. D

    Uniform

18
Choose one
1 point

For a Poisson random variable with rate parameter λ\lambda, which statement about its mean and variance is correct?

  1. A

    Its mean is λ\lambda and its variance is λ2\lambda^2.

  2. B

    Its mean and variance are both λ\lambda.

  3. C

    Its mean is 1λ\frac{1}{\lambda} and its variance is 1λ2\frac{1}{\lambda^2}.

  4. D

    Its mean is zero and its variance is λ\lambda.

19
Written response
1 point

Adult heights are modeled by X∼N(68,32)X\sim N(68,3^2) inches. What is the z-score for a height of 74 inches?

20
Written response
1 point

A count of successes is modeled by X∼Binomial⁡(12,0.25)X\sim\operatorname{Binomial}(12,0.25). What is the expected number of successes?