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  • https://stats.libretexts.org/Courses/Queensborough_Community_College/MA336%3A_Statistics/07%3A_Continuous_Random_Variables/7.01%3A_Continuous_Random_Variables
    For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. ...For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. With continuous random variables one is concerned not with the event that the variable assumes a single particular value, but with the event that the random variable assumes a value in a particular interval.
  • https://stats.libretexts.org/Courses/Fresno_City_College/Math_11%3A_Elementary_Statistics/06%3A_Continuous_Random_Variables/6.01%3A_The_Standard_Normal_Distribution/6.1.01%3A_Continuous_Random_Variables
    For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. ...For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. With continuous random variables one is concerned not with the event that the variable assumes a single particular value, but with the event that the random variable assumes a value in a particular interval.
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/05%3A_Continuous_Random_Variables/5.01%3A_Continuous_Random_Variables
    For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. ...For a discrete random variable X the probability that X assumes one of its possible values on a single trial of the experiment makes good sense. This is not the case for a continuous random variable. With continuous random variables one is concerned not with the event that the variable assumes a single particular value, but with the event that the random variable assumes a value in a particular interval.

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