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### Problem Summary:
1. **Given Data**: A list of employee salaries for the company, including:
   - Salaries: 76029, 58456, 52718, 272500, 108448, 73777, 109739, 64553, 57380, 58456.
   
2. **Tasks**:
   - **Part 1** (Already completed): Calculate the mean, median, and mode for the entire dataset.
   - **Part 2**: Recalculate the mean, median, and mode **after removing the CEO's high salary of $272,500** from the dataset.

### Solution for Part 2

#### Step 1: Modified Dataset
By removing the salary of $272,500, the remaining data are:
- **Modified Salaries**: 76029, 58456, 52718, 108448, 73777, 109739, 64553, 57380, 58456.

#### Step 2: Calculate the New Mean
To find the mean:
\[
\text{Mean} = \frac{\text{Sum of Salaries}}{\text{Number of Salaries}}
\]
1. **Sum of Modified Salaries**: $ 76029 + 58456 + 52718 + 108448 + 73777 + 109739 + 64553 + 57380 + 58456 = 600556 $.
2. **Number of Salaries**: 9.

\[
\text{Mean} = \frac{600556}{9} \approx 66728.44
\]

#### Step 3: Calculate the New Median
To find the median:
1. Arrange the modified data in ascending order:
   - **Ordered Data**: 52718, 57380, 58456, 58456, 64553, 73777, 76029, 108448, 109739.
2. **Median Position**: Since there are 9 values, the median is the middle value (5th value in the sorted list).

\[
\text{Median} = 64553
\]

#### Step 4: Calculate the New Mode
The mode is the most frequently occurring value.
- **Mode**: The salary that appears most frequently is **58456**.

### Final Answers for Part 2:
- **Mean**: 66728.44 dollars
- **Median**: 64553 dollars
- **Mode**: 58456 dollars

Would you like further details or have any questions?

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### Additional Questions:
1. How would removing different outliers affect the mean, median, and mode?
2. What is the difference between mean, median, and mode, and why is each important?
3. How would adding a low outlier (e.g., $20,000) impact these calculations?
4. Why is the median less affected by extreme values compared to the mean?
5. How can mode be useful in analyzing salary distributions?

#### Tip:
Always consider removing outliers when calculating the mean to avoid skewed results in datasets with extreme values.

Remove the high CEO salary of 272500 dollars from the data. Recompute the following: mean, median, and mode of the salaries. Round each answer to 2 decimal places.

Calculate the new mean, median, and mode of employee salaries after removing an outlier of 272500 dollars. Learn to handle outliers in statistical data analysis and understand how each measure responds to extreme values.

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