The science of collecting, analyzing, and interpreting data to make informed decisions.

The process of gathering information for analysis, often through surveys or experiments.

Methods for summarizing and describing the main features of a dataset, such as mean and median.

A research method used to collect data by asking questions to a sample of individuals.

Non-numerical information that describes characteristics or qualities.

Numerical information that can be measured and analyzed statistically.

The average value of a dataset, calculated by dividing the sum of all values by the number of values.

The middle value in a dataset when arranged in ascending order.

The value that appears most frequently in a dataset.

The entire group of individuals or items that a researcher is interested in studying.

A subset of the population selected for analysis to draw conclusions about the whole.

A testable statement or prediction about the relationship between variables.

Any characteristic or attribute that can vary among subjects in a study.

The process of making sense of collected data and drawing conclusions.

The act of communicating findings from data analysis through reports or presentations.

Graphs, charts, or images used to enhance the understanding of data during presentations.

Patterns or tendencies in data that can indicate changes over time.

Guidelines that ensure respect and fairness in data collection and analysis.

Specific goals that guide the direction and focus of a survey or study.

The systematic examination of data to uncover patterns and insights.

Conclusions drawn from data that can inform decision-making and actions.

The ability to convey information effectively to various audiences.

The process of reflecting on experiences to improve future performance.

A collection of work that showcases skills and learning outcomes.

The process of evaluating one's own understanding and performance.