The correct answer is: All of the Mentioned
Raw data is the unprocessed data that is collected from a variety of sources. It can be in the form of text, numbers, images, or audio. Processed data is the data that has been cleaned, organized, and analyzed. It is often used to create reports, graphs, and other visualizations. Synchronized data is the data that has been aligned with a common time reference. This is important for data analysis, as it allows you to compare data from different sources and time periods.
All of these types of data can be used in formulas to produce commonly accepted results. For example, you could use raw data to calculate the average of a set of numbers. You could use processed data to create a graph of sales data over time. And you could use synchronized data to compare the sales data from different stores.
It is important to note that the type of data you use will depend on the specific task you are trying to accomplish. For example, if you are trying to calculate the average of a set of numbers, you will need to use raw data. However, if you are trying to create a graph of sales data over time, you will need to use processed data.
In conclusion, all of the mentioned types of data can be used in formulas to produce commonly accepted results. The type of data you use will depend on the specific task you are trying to accomplish.