An attribute is defined as a specific characteristic or feature of a given subject. When we talk about statistical attributes, we mean the specific topic or subject that we want to investigate. If we can clearly identify the statistical attributes in a research project, it helps us generate clear research questions so we can make useful conclusions.
Let's look at some examples and practice identifying statistical attributes.
What statistical attributes would need to be considered if you were trying to investigate how many pets your classmates own?
What statistical attributes could be being shown in the graph to the right?
What statistical attribute is being compared in the bar graph?
Plan and conduct investigations using the statistical enquiry cycle: A justifying the variables and measures used B managing sources of variation, including through the use of random sampling C identifying and communicating features in context (trends, relationships between variables, and differences within and between distributions), using multiple displays D making informal inferences about populations from sample data E justifying findings, using displays and measures.
Investigate a given multivariate data set using the statistical enquiry cycle