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    1. How many ways can an EMT union committee of 5 be chosen from 25 EMTs?
    100
    125
    15,504
    53,130

    2. Which of the following cannot be a probability?
    0
    -49
    0.001
    14%

    3. List the sample space of rolling a 6 sided die.
    {1, 3, 5}
    {1, 2, 4, 6}
    {1, 2, 3, 4, 5, 6}
    {2, 3, 4, 5, 6}

    4. What is the probability of choosing a face card (jack, queen, or king) on the second draw if the first draw was a king (without replacement)?
    0.231
    0.784
    0.216
    0.769

    5. A respiratory class has 33 women and 18 men. If a student is chosen randomly to be the team leader, what is the probability the student is a woman?
    0.33
    0.353
    0.67
    0.647

    6. Compute the following: 3! ÷ (0! * 3!)
    6
    1
    12
    0

    7. Decide whether the experiment is a binomial, Poisson, or neither based on the information given. You observe the gender of the next 950 babies born at a local hospital. The random variable represents the number of girls. Historically, 49.8% of the babies born are girls.
    binomial
    Poisson
    neither

    8. Given a Poisson distribution with mean = 4. Find P(X > 3).
    0.195
    0.238
    0.433
    0.567

    9. Given the random variable X = {4, 5} with P(4) = 0.4 and P(5) = 0.6. Find E(X).
    1.6
    4.6
    2.4
    3.0

    10. If X = {10, 20, 30, 40} and P(10) = 0.30, P(20) = 0.30, P(30) = 0.30, and P(40) = 0.30, can distribution of the random variable X be considered a probability distribution?
    yes
    no

    11. If X = {2, 6, 10, 14} and P(2) = 0.2, P(6) = 0.3, P(10) = 0.4, and P(14) = 0.1, can distribution of the random variable X be considered a probability distribution?
    yes
    no

    12. The weight of a box of Cheerios represents what kind of distribution?
    discrete
    continuous

    13. Our baby's weight represents what kind of distribution?
    discrete
    continuous

    14. The number of patients donating blood in a day represents what kind of distribution?
    discrete
    continuous

    15. We have a binomial experiment with p = 0.4 and n = 2.

    a. Set up the probability distribution by showing all x values and their associated probabilities.

    b. Compute the mean, variance, and standard deviation.

    Some students were asked if they carry a credit card. Here are the responses.
    [Please refer to the attachment for the data]

    1. What is the probability that the student is a sophomore given he doesn't carry a credit card?

    2. What is the probability that the student was a freshman? (Points: 5)

    3. What is the probability that the student is a freshman and doesn't carry a credit card?

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    https://brainmass.com/statistics/probability/344250

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