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Here are the solutions for the provided dataset of professor visits:

a. **Median number of calls**: 57.0  
b. **First quartile (Q1)**: 52.0 and **Third quartile (Q3)**: 64.0  
c. **First decile (D1)**: 48.0 and **Ninth decile (D9)**: 69.0  
d. **33rd percentile**: 53.2

Would you like any further details or clarifications?

Here are five related questions for further practice:
1. How do you calculate the interquartile range (IQR) from Q1 and Q3?
2. How can you interpret the deciles in this dataset?
3. What is the difference between quartiles and percentiles?
4. How would you calculate the mode of the dataset?
5. How can outliers be identified using the IQR?

**Tip:** The median is a more robust measure of central tendency than the mean, especially when a dataset has outliers.

Determine the median, quartiles, deciles, and 33rd percentile of a dataset representing the number of professors visited last week.

Find the median, first and third quartiles, first and ninth deciles, and the 33rd percentile for a dataset representing professor visits in a week. Detailed step-by-step calculations provided.

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