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Student Hair and Eye Colour Contingency Counts
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About
a historical survey of students conducted at the University of Delaware. It records the counts of individuals based on combinations of hair colour, eye colour, and sex. It is a highly effective resource for teaching and demonstrating various statistical analysis techniques, particularly those focusing on categorical data and multivariate analysis. The data structure is ideally suited for illustrating methods like log-linear modelling, the standard chi-squared test, and the generation of visualisations such as mosaic plots or association plots.
Columns
- Hair: Indicates the colour of the hair, with four distinct values recorded. Black is noted as the most frequent category.
- Eye: Indicates the colour of the eye, also featuring four unique recorded values. Brown is noted as the most frequent category.
- Sex: Specifies the gender, categorised as either Male or Female. Two unique values are present, with males and females equally represented.
- Freq: Represents the numerical count of people associated with that particular combination of eye colour, hair colour, and sex.
- Serial Number: An identifier column, useful for indexing records.
Distribution
The data is structured in a tabular format and is available as a CSV file (HairEyeColor.csv). The file size is minimal, measuring 1 kB. The dataset contains 5 columns and 32 total records. All 32 entries across all columns are validated, showing zero missing or mismatched values.
Usage
Ideal applications include statistical pedagogy, demonstrating the analysis of multi-dimensional contingency tables, and hypothesis testing related to the independence of categorical variables. It is excellent for practising graphical methods designed for qualitative data, such as sieve diagrams. Researchers can also use this data to model relationships between attributes using log-linear techniques.
Coverage
The data reflects a specific demographic group: students surveyed at the University of Delaware. It captures attributes relating to eye colour, hair colour, and sex distributions. The information represents a fixed point in time; the data is not expected to receive updates.
License
CC0: Public Domain
Who Can Use It
The primary intended users are statistical researchers, data science students, and educators. Statisticians can leverage it for illustrating complex concepts in categorical data analysis. Students can use it to practice applying traditional statistical tests and advanced modelling techniques.
Dataset Name Suggestions
- Student Hair and Eye Colour Contingency Counts
- Delaware University Student Attribute Survey
- Categorical Data Analysis Example Dataset
Attributes
Original Data Source: Student Hair and Eye Colour Contingency Counts
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