Random Variables: Discrete vs Continuous
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Questions and Answers

What is a random variable?

  • A variable that takes on only integer values
  • A variable that assigns real numbers to elements in a sample space (correct)
  • A constant value determined by chance
  • A variable that has a fixed value for each experiment
  • Which of the following is an example of a discrete random variable?

  • The time it takes for a chemical reaction to complete
  • The height of a person
  • The weight of an object
  • The number of heads obtained in 10 coin tosses (correct)
  • What is the first step in finding the value of a random variable?

  • Assign letters to outcomes (correct)
  • Count the values
  • Perform the random experiment
  • Determine the sample space
  • Which of the following is an example of a continuous random variable?

    <p>The amount of rainfall in a given area over a period of time</p> Signup and view all the answers

    How are the values of discrete random variables typically represented?

    <p>As non-negative whole numbers</p> Signup and view all the answers

    What is the main difference between discrete and continuous random variables?

    <p>Discrete random variables involve counting, while continuous random variables involve measuring</p> Signup and view all the answers

    Study Notes

    • Random variables associate real numbers with elements in a sample space, which is a collection of possible outcomes of a random experiment.
    • Random variables are determined by chance and are derived from the outcomes of random experiments.
    • Examples of random variables include the number of times a coin lands heads up and the sum of two dice rolls.
    • Steps to find the value of random variables involve assigning letters to outcomes, determining the sample space, and counting the values.
    • Discrete random variables can take a finite number of distinct values, usually represented by non-negative whole numbers.
    • Continuous random variables can assume an infinite number of values in an interval, including fractions and decimals, often resulting from measurements.
    • Examples are given to classify random variables as discrete or continuous based on whether they involve counting or measuring.
    • The types of random variables (discrete or continuous) impact how their values are obtained and represented.

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    Description

    Learn about random variables, which assign real numbers to outcomes of random experiments. Understand the difference between discrete random variables with a finite number of values and continuous random variables with an infinite set of values. Explore examples and steps to determine the values of random variables.

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