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DA0-002 Data Concepts and Environments Practice Question

A data analyst is working with a dataset that contains a column for customer satisfaction ratings on a scale of 1 to 5, where 1 means 'very dissatisfied' and 5 means 'very satisfied'. The analyst wants to calculate the median satisfaction score. Which level of measurement does this data represent?

⚠ Common exam trap

The trap here is assuming that numeric labels always indicate interval or ratio data, when in fact ordered categories like satisfaction ratings are ordinal.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Ordinal

Customer satisfaction ratings on a 1-5 scale are ordered but the intervals between points are not equal, so they are ordinal. The median is the appropriate measure of central tendency for ordinal data. Nominal data lacks order, interval data requires equal intervals, and ratio data requires a true zero, none of which apply here.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Ratio

    Why it's wrong here

    Ratio data has all the properties of interval data plus a true zero point, allowing for meaningful ratios. Satisfaction ratings lack a true zero; a rating of 1 does not mean 'no satisfaction'. Thus, ratio is incorrect. Using ratio-level operations like multiplication or division on these scores would be invalid and could mislead the analysis.

  • ✓

    Ordinal

    Why this is correct

    Ordinal data has a meaningful order but the intervals between values are not necessarily equal. Satisfaction ratings from 1 to 5 are ordered, but the difference between 1 and 2 may not equal the difference between 4 and 5. The median is a valid measure of central tendency for ordinal data, making this the correct classification.

  • ✗

    Nominal

    Why it's wrong here

    Nominal data consists of categories with no inherent order, such as eye color or product type. The satisfaction ratings have a clear order from very dissatisfied to very satisfied, so they are not nominal. Treating them as nominal would ignore the ranking and make the median meaningless, as you cannot compute a median of unordered categories.

  • ✗

    Interval

    Why it's wrong here

    Interval data has ordered categories with equal intervals, such as temperature in Celsius. Satisfaction ratings do not have guaranteed equal intervals; the psychological distance between 'dissatisfied' and 'neutral' may differ from that between 'satisfied' and 'very satisfied'. Therefore, interval is not the correct level, and treating it as such could lead to inappropriate arithmetic operations.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official CompTIA exam blueprint

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