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  • 問題数 26 • 1/11/2025

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  • 1

    The result of a single trial

    Outcome

  • 2

    Specific subset of outcome

    Event

  • 3

    The chance of an event occuring

    Probability

  • 4

    Set of all possible outcomes in an experiment

    Sample space

  • 5

    ______ is represented by capital letter X while small letter x represents the ________

    Random variable, Elements

  • 6

    Domain

    Sample space

  • 7

    Range

    Possible values

  • 8

    A process where each outcome has an equal chance of occuring

    Random experiment

  • 9

    Numerical values which denote the possible outcomes of a random experiment

    Random variable

  • 10

    Denotes the possibility of the outcome of any problem/random event and measures the likelihood of an event to happen

    Probability

  • 11

    Study of collection, analysis, information, presentation, and organization of data

    Statistics

  • 12

    Data collected could be:

    Quantitative, Qualitative

  • 13

    Data that can be counted or measured in numerical values

    Quantitative

  • 14

    Dsscriptive and depicts qualities or characteristics

    Qualitative

  • 15

    Types of random variables:

    Discrete, Continuous

  • 16

    Variables that could be finite/infinite values

    Discrete

  • 17

    Variables that are countable

    Discrete

  • 18

    Variables that are whole numbers

    Discrete

  • 19

    Variables that are only infinite values

    Continuous

  • 20

    Variables that can take decimal or fractional values

    Continuous

  • 21

    Variables of measured data such as height, weight, and temperature

    Continuous

  • 22

    A ________ of a discrete random variable is a list, table, graph, or a formula of probabilities associated with each of its possible values

    Probability distribution

  • 23

    It is a graph of probability mass function

    Histogram

  • 24

    The area under a histogram is ____

    1

  • 25

    For discrete random variable, we use

    Probability distribution

  • 26

    For continuous random variable, we use

    Probability density function