Data Classification
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Questions and Answers

What is the primary characteristic that distinguishes ordinal data from nominal data?

  • The presence of quantitative values
  • The presence of categorical values
  • The ability to perform mathematical operations
  • The ability to rank or order the values (correct)
  • Which of the following types of data is most accurately described by the phrase 'variables that can take on any value within a certain range or interval'?

  • Nominal data
  • Ordinal data
  • Continuous data (correct)
  • Discrete data
  • What is the term for data that can be categorized into distinct groups or categories, but lacks a natural order or ranking?

  • Qualitative data
  • Nominal data (correct)
  • Quantitative data
  • Ordinal data
  • Which of the following examples is most representative of discrete data?

    <p>The number of students in a class</p> Signup and view all the answers

    What is the primary characteristic that distinguishes quantitative data from qualitative data?

    <p>The presence of numerical values</p> Signup and view all the answers

    Study Notes

    Types of Data

    • Data can be classified into two main categories: qualitative and quantitative data.

    Qualitative Data

    • Consists of non-numerical values that describe characteristics or attributes.
    • Examples: gender (women, men), hair color (blonde, brown), ethnicity (Hispanic, Asian), letter grades (A, B, C).

    Quantitative Data

    • Consists of numerical values that can be measured and compared.
    • Can be further divided into two subcategories: discrete and continuous data.

    Discrete Data

    • Consists of distinct, separate values that can be counted.
    • Examples: number of students in a class, number of workers in a company, number of home runs in a baseball game.

    Continuous Data

    • Consists of values that can take on any value within a certain range or interval.
    • Examples: height of children, square footage of a two-bedroom house, speed of cars.

    Nominal Data

    • A type of qualitative data that has no inherent order or ranking.
    • Examples: gender, hair color, ethnicity.

    Ordinal Data

    • A type of qualitative data that has a natural order or ranking.
    • Examples: first, second, and third grades.

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    Description

    Learn about the two main categories of data: qualitative and quantitative, and their subcategories. Understand the characteristics of each type.

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