What type of data can be analyzed using statistical techniques?

Statistical techniques are applicable to both qualitative and quantitative data, which means they can be used to analyze a wide range of data types. Quantitative data consists of numerical values that can be measured and analyzed using statistical methods to derive insights, identify trends, and inform decision-making. Examples include variables such as age, income, and temperature.

In contrast, qualitative data involves categorical information that expresses characteristics or qualities but does not have a numerical component. While statistical techniques can be employed to analyze qualitative data—often through methods such as coding or thematic analysis—it is primarily quantitative data that utilizes statistical measures such as averages, standard deviations, and correlations.

Since the correct answer encompasses both kinds of data, it provides a more comprehensive view of statistical analysis capabilities. Focusing solely on qualitative or quantitative falls short because effective analyses may often require insights from both types. This multifaceted approach enriches understanding and decision-making processes across various fields.