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The image you provided contains an exercise about creating a frequency distribution table based on ungrouped qualitative data. The data is related to the most used social networks by 40 students. Here's how to approach the problem:

### Step-by-Step Guide for Completing the Frequency Table:

1. **Identify Classes (Categories)**: 
   The different social networks listed in the table such as Facebook, TikTok, Instagram, WhatsApp, etc. These are the categories you will classify.

2. **Count Frequencies (f)**: 
   For each social network, count how many times it appears in the dataset provided. For instance, how many times "Facebook" is mentioned across all rows and columns.

3. **Calculate the Percentage (%)**: 
   This is calculated by dividing the frequency of each social network by the total number of entries (40 in this case) and multiplying by 100.
   \[
   \text{Percentage} = \left( \frac{f}{40} \right) \times 100
   \]

4. **Cumulative Frequency (F)**: 
   The cumulative frequency is the running total of the frequencies as you move down the list of classes.

5. **Complete the Table**: 
   You need to fill the table provided with the following columns:
   - Clases (Social networks)
   - Conteo (Count or Frequency, \( f \))
   - Porcentaje (%) (Percentage)
   - Frecuencia Acumulada (Cumulative Frequency, \( F \))

Would you like me to calculate these frequencies for you? 

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In the meantime, here are five related questions you might want to explore:

1. How do you compute cumulative frequencies for grouped data?
2. What is the difference between absolute and relative frequencies?
3. How can you visualize frequency distribution for qualitative data using graphs?
4. What are the advantages of using frequency tables in data analysis?
5. How can this frequency distribution approach be extended to analyze quantitative data?

**Tip**: To double-check the percentages, ensure that their sum equals 100%, and the cumulative frequency should always end at the total number of observations (in this case, 40).

The query submitted by the user is about creating a frequency distribution table based on ungrouped qualitative data related to the most used social networks by 40 students.

Learn how to create a frequency distribution table using ungrouped qualitative data related to the most used social networks by 40 students. This problem involves calculating absolute frequencies, percentages, and cumulative frequencies. Suitable for high school students.

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