Quantitative Data Accuracy and Precision Quiz
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Questions and Answers

Which type of variable is year of starting university for each student?

  • Ordinal
  • Ratio
  • Nominal
  • Interval (correct)
  • Which type of data measurement allows for addition, subtraction, multiplication, and division to make sense?

  • Ordinal
  • Nominal
  • Ratio (correct)
  • Interval
  • What kind of variable is the record of distance or height?

  • Interval
  • Ordinal
  • Ratio (correct)
  • Nominal
  • Which type of variable can't be averaged due to its rank order hierarchy?

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

    What type of variable represents any number, quantity, or characteristic that can be measured?

    <p>Nominal</p> Signup and view all the answers

    Which term describes how close repeated measurements are to each other?

    <p>Precision</p> Signup and view all the answers

    What is it called when a measurement is close to the true or accepted value?

    <p>Accuracy</p> Signup and view all the answers

    In which type of data does it not make sense to average the different possibilities?

    <p>Nominal data</p> Signup and view all the answers

    What is the term for digits expressing a measurement such that only the last digit is uncertain?

    <p>Significant figures</p> Signup and view all the answers

    Which type of variable has a natural, meaningful way to order the possibilities but cannot do anything else?

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

    Study Notes

    Variable Types

    • Year of starting university for each student is an example of a quantitative variable.
    • Ratio data allows for addition, subtraction, multiplication, and division to make sense, as it has a true zero point and equal intervals between units.

    Measurement Data

    • Distance or height is an example of a continuous variable.
    • A ranked variable cannot be averaged due to its rank order hierarchy, as it has a natural order but no equal intervals between units.

    Measurement Characteristics

    • A quantitative variable represents any number, quantity, or characteristic that can be measured.
    • Precision describes how close repeated measurements are to each other.
    • Accuracy is when a measurement is close to the true or accepted value.

    Nominal Data

    • Nominal data is a type of data where it does not make sense to average the different possibilities, as it consists of categories with no natural order or hierarchy.

    Significant Figures

    • Significant figures are the digits expressing a measurement such that only the last digit is uncertain.

    Ordinal Data

    • Ordinal data has a natural, meaningful way to order the possibilities but cannot do anything else, as it has a natural order but no equal intervals between units.

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    Description

    Test your understanding of working with quantitative data, accuracy, precision, and significant figures. This quiz covers concepts such as the closeness of measurements to the true value, the closeness of repeated measurements to each other, and the significance of digits in expressing uncertainty.

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