Random Variables Assessment Test

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  • 1/10 Questions

    Random variables that can take on any of the countless number of values in an interval are called... 

    • Continuous
    • Discrete
    • Closed
    • Open
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About This Quiz

Random variables, as taught in statistics and probability, is a variable whose possible values are numerical outcomes of a random phenomenon. Take this quiz to find out more.

Random Variables Assessment Test - Quiz

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  • 2. 
    Random variables that can assume only a countable number of values are called... - ProProfs

    Random variables that can assume only a countable number of values are called...

    • Open

    • Closed

    • Discrete

    • Continuous

    Correct Answer
    A. Discrete
    Explanation
    Random variables that can assume only a countable number of values are called discrete. Discrete random variables have specific, separate, and distinct values. They can be expressed as whole numbers or a finite set of values. Unlike continuous random variables, discrete random variables cannot take on any value within a given range.

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  • 3. 
    A variable whose possible values are numerical outcomes of a random phenomenon is termed... - ProProfs

    A variable whose possible values are numerical outcomes of a random phenomenon is termed...

    • Open variable

    • Clear variable

    • Random variable

    • Closed variable

    Correct Answer
    A. Random variable
    Explanation
    A random variable is a term used to describe a variable that can take on different numerical outcomes as a result of a random or uncertain event or phenomenon. This means that the values of the variable are not predetermined or fixed, but rather depend on the outcome of the random process. Therefore, the correct answer is "Random variable."

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  • 4. 
    Variables which cannot take any value at all are... - ProProfs

    Variables which cannot take any value at all are...

    • Nonrandom

    • Ordinary

    • Calling

    • Ordinal

    Correct Answer
    A. Nonrandom
    Explanation
    Nonrandom variables are those that do not have any variation or variability in their values. In other words, these variables cannot take on different values and remain constant. They are fixed and unchanging. In contrast, random variables can take on different values based on chance or probability. Therefore, nonrandom variables cannot take any value at all, as they are not subject to variation or randomness.

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  • 5. 
    A random variable which takes values greater than or equal to zero with probability one is... - ProProfs

    A random variable which takes values greater than or equal to zero with probability one is...

    • Nonnegative

    • Real

    • Trap

    • Slope

    Correct Answer
    A. Nonnegative
    Explanation
    A random variable that takes values greater than or equal to zero with probability one is referred to as nonnegative. This means that the variable cannot have negative values and is restricted to zero or positive values only.

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  • 6. 
    An example of a continuous variable is... - ProProfs

    An example of a continuous variable is...

    • Distance

    • Acceleration

    • Force

    • Power

    Correct Answer
    A. Distance
    Explanation
    A continuous variable is one that can take on any value within a certain range. In this case, distance is a continuous variable because it can be measured in any unit of length and can have any value within that unit. Acceleration, force, and power, on the other hand, are not continuous variables as they have specific units and can only take on certain values within those units.

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  • 7. 
    Which is a type of random variables?  - ProProfs

    Which is a type of random variables? 

    • Continuous

    • Linear

    • Normal

    • Ordinal

    Correct Answer
    A. Continuous
    Explanation
    A continuous random variable is a type of random variable that can take on any value within a certain range or interval. It can have an infinite number of possible outcomes and is typically associated with measurements or quantities that can be expressed as real numbers. Examples of continuous random variables include height, weight, time, and temperature. In contrast, other options like linear, normal, and ordinal are not types of random variables but rather describe different characteristics or properties of random variables.

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  • 8. 
    If a variable can take on any value between two specified values, it is called... - ProProfs

    If a variable can take on any value between two specified values, it is called...

    • Continuous variable

    • Discrete variable

    • Line variable

    • Real

    Correct Answer
    A. Continuous variable
    Explanation
    A continuous variable is a variable that can take on any value within a specified range. Unlike discrete variables, which can only take on specific values, a continuous variable can take on any value within a range, including decimal values. In this case, the variable can take on any value between two specified values, indicating that it is a continuous variable.

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  • 9. 
    Which of these restricts the measurement of a continuous variable? - ProProfs

    Which of these restricts the measurement of a continuous variable?

    • Figure

    • Accuracy

    • Place

    • Number

    Correct Answer
    A. Accuracy
    Explanation
    Accuracy restricts the measurement of a continuous variable because accuracy refers to the degree of closeness between a measured value and the true value of the variable. In the context of measurement, accuracy determines how precise and reliable the measurement is. Therefore, if the accuracy is low, it means that the measurement may have a larger margin of error, limiting the ability to accurately measure and quantify the continuous variable.

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  • 10. 
     A random variable can also be referred to as... - ProProfs

     A random variable can also be referred to as...

    • Clear

    • Open

    • Branched

    • Stochastic

    Correct Answer
    A. Stochastic
    Explanation
    A random variable can also be referred to as "stochastic" because it represents a variable whose outcome is determined by chance or probability. Stochastic variables are used in probability theory and statistics to model and analyze uncertain events or processes. They can take on different values with varying probabilities, and their behavior is often described using probability distributions.

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  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Jan 10, 2018
    Quiz Created by
    Cripstwick
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