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The table you provided seems to represent a frequency distribution, commonly used in statistics. Here's a breakdown of the columns:

1. **Notas**: These are the class intervals or score ranges.
2. **Límites reales**: These are the real limits, which indicate the true boundaries of each interval.
3. **\( x_i \)**: Midpoints of each class interval.
4. **\( f_i \)**: The absolute frequency (number of observations within each class interval).
5. **\( h_i \)**: Relative frequency, representing the proportion of total observations in each class.
6. **\( H_i \)**: Cumulative absolute frequency, summing up frequencies up to that class.
7. **\( F_i \)**: Cumulative relative frequency, summing up relative frequencies up to that class.
8. **\( F_i' \)**: Could represent the complementary relative cumulative frequency (1 - cumulative frequency).
9. **\( H_i' \)**: Could represent the complementary absolute cumulative frequency (total frequency minus cumulative frequency).

If you want, I can help further interpret the data or calculate specific statistical measures like the mean, median, or standard deviation based on the table.

Would you like more details or calculations? Here are five questions that could deepen the analysis:
1. Would you like me to compute the mean of the data using the midpoints and frequencies?
2. Do you need help interpreting cumulative frequencies or their significance?
3. Would you like to explore the variance or standard deviation of this distribution?
4. Should I explain how the complementary cumulative frequencies relate to the overall data?
5. Would you like assistance calculating probabilities using this table?

**Tip**: When analyzing frequency distributions, always start by calculating the mean or median to get a central tendency measure, then move to dispersion metrics like variance or standard deviation.

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Explore the detailed frequency distribution table with cumulative and relative frequencies for a set of data. Understand how to calculate mean, cumulative frequencies, and other key statistical measures. Ideal for students in Grades 10-12 studying statistics.

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