To calculate the frequency of a given value in a dataset, follow these steps:

1. Organize the Data: If the dataset is large, it may help to first sort the data in ascending order. This makes it easier to count occurrences.
2. Count Occurrences: Go through the dataset and count how many times the specific value appears. You can do this manually or use tally marks for larger datasets to keep track of counts.
3. Create a Frequency Table (if needed): For clarity, especially with larger datasets, you can create a frequency table that lists each unique value alongside its corresponding frequency. This table will provide a quick reference for all values in the dataset.
4. Use Software Tools: If the dataset is extensive, consider using statistical software or spreadsheet applications (like Excel) that can automatically count frequencies using functions like COUNTIF or pivot tables.

For example, if you have a dataset of survey responses such as [3, 5, 3, 2, 5, 3], and you want to find the frequency of the value "3":

• Count how many times "3" appears: it appears three times.
• The frequency of "3" in this dataset is 3.

This method ensures an accurate count of how often each value occurs within your dataset.