a random sample of employee salaries at a company is shown below, 80, 56, 116, 62, 68, 127, 22, 119, 79, 132, 41, 72, 72, 81, 85
find the mean
find the standard deviation 
find the variance

The calculations for the employee salaries are as follows:
- **Mean (average) salary**: 80.8
- **Standard deviation**: 31.40
- **Variance**: 986.03

Would you like a deeper explanation of these concepts or further details?

Here are 5 related questions you might find useful:
1. How do you calculate the mean of grouped data?
2. How does standard deviation help in understanding salary distributions?
3. What is the difference between sample variance and population variance?
4. How would the inclusion of an outlier affect the mean and standard deviation?
5. Can we calculate the median salary from this data?

**Tip**: Standard deviation shows how much variation exists from the average, giving insights into how spread out the salaries are.

A random sample of employee salaries at a company is shown below: 80, 56, 116, 62, 68, 127, 22, 119, 79, 132, 41, 72, 72, 81, 85. Find the mean, find the standard deviation, and find the variance.

Learn how to calculate the mean, standard deviation, and variance for a random sample of employee salaries, including key formulas for descriptive statistics. This example is perfect for high school or college students exploring measures of central tendency and dispersion.

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