What are common tools used for data analysis?

The correct answer highlights the primary tools that are essential for performing data analysis effectively. Spreadsheet software, such as Microsoft Excel or Google Sheets, provides functionalities that allow users to organize, manipulate, and analyze data. These tools include formulas, pivot tables, and graphing capabilities, making it easier to identify trends and visualize data outcomes.

Statistical software encompasses specialized programs like R, SAS, and SPSS, which offer advanced analytical functions, including statistical testing, regression analysis, and complex data modeling. These tools are designed to handle large datasets and perform rigorous analyses that go beyond what typical spreadsheet software can do.

While video editing software, word processing tools, and presentation software have their own respective purposes, they do not offer the necessary features for in-depth data analysis. Video editing software is focused on creating and manipulating video content, word processing tools are mainly used for document creation, and presentation software is intended for designing visual presentations rather than analyzing data. Therefore, the combination of spreadsheet and statistical software represents the most relevant and widely used tools for data analysis tasks.