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Why is it not appropriate to perform arithmetic operations on nominal data?
Why is it not appropriate to perform arithmetic operations on nominal data?
- Nominal data has fixed distances between data points
- Nominal data meets the assumptions for arithmetic calculations
- Nominal data is named-only (correct)
- Nominal data has an order to the information
What is a key characteristic of nominal data?
What is a key characteristic of nominal data?
- Separates information into different categories (correct)
- Has a concept of degree or order
- Associated with numbers
- Allows arithmetic operations
In the context of nominal data, what would be the most appropriate type of analysis?
In the context of nominal data, what would be the most appropriate type of analysis?
- Comparing means
- Measuring distances between categories
- Calculating means
- Calculating frequencies and percentages (correct)
Why are arithmetic calculations not suitable for ordinal data?
Why are arithmetic calculations not suitable for ordinal data?
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What feature distinguishes ordinal data from nominal data?
What feature distinguishes ordinal data from nominal data?
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What type of analysis is generally more appropriate for ordinal data?
What type of analysis is generally more appropriate for ordinal data?
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What is a characteristic of interval data?
What is a characteristic of interval data?
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Why can't you interpret a mean of 4 as twice the mean of 2 for ordinal data?
Why can't you interpret a mean of 4 as twice the mean of 2 for ordinal data?
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What arithmetic operations are justifiable on interval data?
What arithmetic operations are justifiable on interval data?
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Why are scores on a test considered interval data?
Why are scores on a test considered interval data?
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How does interval data differ from ratio data?
How does interval data differ from ratio data?
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Which analysis can be performed on interval data?
Which analysis can be performed on interval data?
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