Deciles divide a dataset into 10 equal parts, so the total number of partition values for deciles is 9.

Here's the reasoning:

• Deciles split the data into 10 segments.
• To separate the data into 10 parts, you need 9 dividers (partition values).

Therefore, for deciles, there are 9 partition values.

Would you like further details or have any additional questions?

Here are some related questions that might interest you:

1. How are quartiles different from deciles in terms of partition values?
2. What is the purpose of dividing data into deciles in statistical analysis?
3. How can deciles be calculated for a given dataset?
4. What are the interpretations of the 1st and 9th deciles?
5. How do percentiles differ from deciles and quartiles?

Tip: Remember that each type of partition (quartiles, deciles, percentiles) provides a different level of data segmentation, which is useful for analyzing data distributions at various granularities.