Numeric Variables and Continuous Variables Quiz
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Questions and Answers

Which type of variable can assume any value between a certain set of real numbers?

  • Categorical variables
  • Continuous variables (correct)
  • Discrete variables
  • Numeric variables
  • Which type of variable can only assume whole values within the limits of the given variables?

  • Discrete variables (correct)
  • Categorical variables
  • Numeric variables
  • Continuous variables
  • What type of variables describe a quality or characteristic of a data unit?

  • Categorical variables (correct)
  • Numeric variables
  • Discrete variables
  • Continuous variables
  • Which type of variable can be measured in terms of 'how many' or 'how much'?

    <p>Numeric variables</p> Signup and view all the answers

    What are variables with values that can be logic?

    <p>Ordinal variables</p> Signup and view all the answers

    Study Notes

    Types of Variables

    • Continuous variables can take any value within a specified range, meaning they can represent fractional or decimal values, such as heights, weights, and temperatures.

    • Discrete variables can only take whole numbers within given limits, often used in counting scenarios, such as the number of students in a classroom or the number of cars in a parking lot.

    • Categorical variables describe qualities or characteristics of a data unit, often used for labeling groups or attributes, such as gender, colors, or types of cuisine.

    • Quantitative variables measure properties in terms of 'how many' or 'how much,' providing numerical data for analysis, like income, age, or scores.

    • Boolean variables can take values that reflect logical conditions, typically represented as true/false or yes/no, useful in decision-making processes and binary systems.

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    Description

    Test your knowledge on the classifications of variables, specifically focusing on numeric variables and their subcategories. Identify the characteristics of continuous variables and gain a better understanding of quantitative data.

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