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Chapter 1-Random Variables & Probability Distributions

Quiz by Nida Flores

Grade 11-12
Statistics and Probability
Philippines Curriculum: SHS Core Subjects (MELC)

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25 questions
Show answers
  • Q1
    1. Which of the following is a discrete random variable?
    the number of patients in a hospital
    the average amount of electricity consumed
    the average weight of female athletes
    the amount of paint used in repainting a building
    30s
    M11/12SP-IIIa-2
  • Q2
    2. If two coins are tossed, which is not a possible value of the random variable for the number of heads?
    1
    2
    3
    0
    30s
    M11/12SP-IIIa-3
  • Q3
    3. Which of the following is not a true statement?
    The probability of the value of a random variable could be zero
    Random variables can only have one value
    The value of a random variable could be zero
    The sum of all the probabilities in a probability distribution is always equal to one
    30s
    M11/12SP-IIIa-4
  • Q4
    4. Which of the following is NOT a probability distribution?
    With values of Random Variables X= 2, 4, 6, 8, 10 with P(X) of 0.15, 0.15,0.50,0.15,0.15 respectively
    With values of Random Variables X= 0, 1, 2, 3, 4 with P(X) of 0.10, 0.15, 0.50, 0.15, 0.10 respectively
    With values of Random Variables X= 0, 1, 2, 3, 4 with P(X) of 0.1, 0.2, 0.4, 0.2, 0.1 respectively
    With values of Random Variables X= 2, 4, 6, 8, 10 with P(X) of 0.2, 0.2, 0.2, 0.2, 0.2 respectively
    30s
    M11/12SP-IIIa-4
  • Q5
    5. Which of the following is an example of parametric data?
    In a university, a class randomly selected as a sample has an average height of 160 centimeters
    The average height of the students in a university is 160 centimeters.
    Ten random students were selected from a class of 40.Their average height is 160 centimeters
    To determine the average height of the students in a university , the earliest 200 students were measured and their average height was found to be 160 centimeters.
    30s
    M11/12SP-IIId-3
  • Q6
    6. Which of the following describes how spread out the random variables are from one another? I. Mean II. Variance III. Standard Deviation
    I and II
    I and III
    I only
    II and III
    30s
    M11/12SP-IIIb-3
  • Q7
    7. Which of the following explain/s why the give data is not a probability distribution? Where: Random Variable, X = 2, 4, 6, 8, 10 with corresponding P(X) of 0.15, 0.15, 0.15, 0.15, 0.15
    The random variable has to be a real number
    The probability cannot assume values that are less than 0
    The probability cannot assume values greater than 1
    The sum of the probabilities has to be equal to 1
    30s
    M11/12SP-IIIa-4
  • Q8
    8. Which of the following quantities is equal to the expected value of the discrete random variable?
    standard deviation
    variance
    none of the above
    mean
    30s
    M11/12SP-IIIb-4
  • Q9
    9. Which of the following is an example of an empirical probability?
    none of the above
    The probability of getting heads out of a coin toss is equal to 1/2
    After gathering data , it was found out that the chance of randomly selecting a left - handed person is 1/10
    The probability of getting two heads out of two coin tosses is 1/4
    30s
    M11/12SP-IIIa-4
  • Q10
    10.One of the three basic interpretations of probability where the probability of an event is determined by carrying out an experiment.
    Classical Probability
    Probability Distribution
    Empirical Probability
    Subjective Probability
    30s
    M11/12SP-IIIa-4
  • Q11
    11. It is a way of presenting probability distribution using vertical bars placed side by side.
    All of the Above
    Normal Distribution
    Frequency Polygon
    Histogram
    30s
    M11/12SP-IIIa-4
  • Q12
    12.Which of the following statements is TRUE?
    The probability of each value in a probability distribution should be more than or equal to one and less than or equal to zero.
    A random variable is discrete if its set of possible outcomes is countable.
    Classical probability is based on an educated guess or estimate.
    Sampling distribution refers to the values of random variables and the probability assigned to them.
    30s
    M11/12SP-IIIa-1
  • Q13
    13. Which of the following is an example of continuous random variable?
    The number of left-handed persons in a classroom
    The amount of rainfall in a randomly selected time
    The number of mistakes a student makes in an exam
    The year of birth of a randomly selected student
    30s
    M11/12SP-IIIa-2
  • Q14
    14. Successful life of product, time, weight, and height are classified as,
    Continuous random variable
    Continuous waiting time variable
    Discrete random variable
    Discrete hyper geometric variable
    30s
    M11/12SP-IIIa-2
  • Q15
    15. Value which is obtained by multiplying possible values of random variable with probability of occurrence and is equal to weighted average is called,
    Cumulative value
    Expected value
    Discrete value
    Weighted value
    30s
    M11/12SP-IIIb-1

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