Types of Data: Nominal Data Analysis

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Why is it not appropriate to perform arithmetic operations on nominal data?

Nominal data is named-only

What is a key characteristic of nominal data?

Separates information into different categories

In the context of nominal data, what would be the most appropriate type of analysis?

Calculating frequencies and percentages

Why are arithmetic calculations not suitable for ordinal data?

Ordinal data does not meet assumptions for arithmetic calculations

What feature distinguishes ordinal data from nominal data?

Specifies an order to the information

What type of analysis is generally more appropriate for ordinal data?

Calculating frequencies and percentages

What is a characteristic of interval data?

Equal distances between data points

Why can't you interpret a mean of 4 as twice the mean of 2 for ordinal data?

The distance between data points is not equal

What arithmetic operations are justifiable on interval data?

Addition and subtraction

Why are scores on a test considered interval data?

Because of the equal differences in scores

How does interval data differ from ratio data?

Ratio data can perform multiplication operations

Which analysis can be performed on interval data?

One way analysis of variance

Explore the concept of nominal data, which is categorical data without numerical values or order. Learn why arithmetic operations like calculating means are not suitable for nominal data analysis. Discover how nominal data is divided into categories and analyze frequencies and percentages of cases within each category.

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