The following data is the 2020 salaries ($K) of 21 players on the professional hockey team:
117.8119.4119.8118.2119.4121.7118.8120.8120.2118.3120.6121.7119.8121.1124.6119.6121.4124.6119.7122.2123.6
Find Q1
, Q2
, and Q3
 using a Spreadsheet template.

To calculate Q1, Q2 (median), and Q3 for the given salary data using a spreadsheet, you can follow these steps:

### Steps to Calculate Q1, Q2, and Q3:

1. **Input the data**:
   - Open a spreadsheet software (e.g., Excel or Google Sheets).
   - Enter the salary values in a column, one value per cell:
     ```
     117.8
     119.4
     119.8
     118.2
     119.4
     121.7
     118.8
     120.8
     120.2
     118.3
     120.6
     121.7
     119.8
     121.1
     124.6
     119.6
     121.4
     124.6
     119.7
     122.2
     123.6
     ```

2. **Sort the Data**:
   - Sort the data in ascending order to make it easier to find the quartiles.
     The sorted data should look like:
     ```
     117.8
     118.2
     118.3
     118.8
     119.4
     119.4
     119.6
     119.7
     119.8
     119.8
     120.2
     120.6
     120.8
     121.1
     121.4
     121.7
     121.7
     122.2
     123.6
     124.6
     124.6
     ```

3. **Use Spreadsheet Functions**:
   You can use built-in functions to calculate the quartiles:
   - **Q1 (First Quartile)**: In Excel or Google Sheets, use the formula `=QUARTILE(A1:A21,1)` where `A1:A21` is the range of your data.
   - **Q2 (Second Quartile / Median)**: You can calculate the median using `=MEDIAN(A1:A21)` or use `=QUARTILE(A1:A21,2)` for Q2.
   - **Q3 (Third Quartile)**: Use the formula `=QUARTILE(A1:A21,3)`.

### Output
- **Q1 (First Quartile)** = 119.4
- **Q2 (Median / Second Quartile)** = 120.2
- **Q3 (Third Quartile)** = 121.7

These values represent the 25th, 50th, and 75th percentiles of the data.

Would you like further clarification or a different approach? Here are 5 follow-up questions that relate to this topic:

1. How do outliers affect quartile calculations?
2. What is the Interquartile Range (IQR) and how can we use it to detect outliers?
3. How would the quartiles change if a player's salary were significantly higher than the rest?
4. What are other methods to summarize data sets aside from quartiles?
5. Can you explain the difference between quartiles and percentiles?

**Tip:** Quartiles are a great way to understand the distribution of data and compare different datasets by dividing them into parts.

The following data is the 2020 salaries ($K) of 21 players on the professional hockey team: 117.8, 119.4, 119.8, 118.2, 119.4, 121.7, 118.8, 120.8, 120.2, 118.3, 120.6, 121.7, 119.8, 121.1, 124.6, 119.6, 121.4, 124.6, 119.7, 122.2, 123.6. Find Q1, Q2, and Q3 using a Spreadsheet template.

Learn how to calculate Q1, Q2 (Median), and Q3 for a set of hockey team salary data using a spreadsheet. This example walks through sorting the data, applying formulas, and understanding quartiles in data analysis. Suitable for students in Grades 9-12.

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