Arkansas Foundations of Reading Test (FORT)

What does data literacy involve?

1. Memorizing textbooks

2. Competence in finding, manipulating, managing, and interpreting data

3. Learning Latin and Greek roots

4. Analyzing historical texts

The correct answer is: Competence in finding, manipulating, managing, and interpreting data

Data literacy involves the ability to find, manipulate, manage, and interpret data effectively, which aligns with option B. This skill set is crucial in today’s data-driven world as it allows individuals to make informed decisions based on data analysis, understand trends, and derive insights from various data sources. Competence in these areas enables effective communication of findings and enhances problem-solving capabilities in a variety of contexts, whether in education, business, or research. Other options do not accurately capture the essence of data literacy. Memorizing textbooks is more related to rote learning rather than understanding and applying data. Learning Latin and Greek roots pertains to vocabulary development and linguistic knowledge, which is not focused on data at all. Analyzing historical texts involves critical thinking and interpretation but is not about data literacy specifically, as it does not encompass the broader skills of handling and deriving meaning from quantitative or qualitative data.