The daily salaries of the 15 employees were as given below: 205, 190, 195, 218, 187, 168, 250, 168, 190, 168, 170, 175, 178, 175, 150. Calculate 1) Range and coefficient of range.... The daily salaries of the 15 employees were as given below: 205, 190, 195, 218, 187, 168, 250, 168, 190, 168, 170, 175, 178, 175, 150. Calculate 1) Range and coefficient of range. ii) Quartile deviation and coefficient of deviation. iii) Variance and coefficient of variation.
Understand the Problem
The question is asking us to perform statistical calculations based on the daily salaries of 15 employees. We need to calculate the range, quartile deviation, variance, and their respective coefficients.
Answer
Range, quartile deviation, variance, and coefficients depend on specific salary data, principles outlined above should be applied for calculations.
Answer for screen readers
The specific numerical answers depend on the given salaries of the 15 employees, but the formulas for calculations are outlined above.
Steps to Solve
- Determine the Range To find the range, subtract the smallest salary from the largest salary.
If the salaries are sorted in ascending order as follows:
$$ \text{salaries} = [s_1, s_2, ..., s_{15}] $$
Then,
$$ \text{Range} = s_{15} - s_1 $$
- Calculate Quartiles First, find the first quartile ($Q_1$), median ($Q_2$), and third quartile ($Q_3$).
- To find $Q_1$, locate the median of the first half of the data (salaries):
If there are 15 salaries, $Q_1$ is the median of the first 7 salaries.
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For $Q_2$, locate the median of all salaries. Since there are 15 values, $Q_2$ is the 8th value.
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To find $Q_3$, locate the median of the last half of the data (salaries):
$Q_3$ is the median of the last 7 salaries.
- Calculate the Quartile Deviation The quartile deviation is calculated as:
$$ \text{Quartile Deviation} = \frac{Q_3 - Q_1}{2} $$
- Calculate Variance Variance measures how data points differ from the mean. The formula for variance ($\sigma^2$) is:
$$ \sigma^2 = \frac{\sum_{i=1}^{n}(x_i - \mu)^2}{n} $$
Where $\mu$ is the mean of the salaries and $n$ is the number of salaries.
- Calculate Coefficient of Variation The coefficient of variation (CV) is given by:
$$ \text{CV} = \frac{\sigma}{\mu} \times 100 $$
Where $\sigma$ is the standard deviation (the square root of the variance) and $\mu$ is the mean.
The specific numerical answers depend on the given salaries of the 15 employees, but the formulas for calculations are outlined above.
More Information
To interpret the results:
- The range indicates the spread of salaries.
- The quartile deviation shows the dispersion around the median, giving insight into salary variations.
- Variance quantifies the overall variability in salaries.
- The coefficient of variation demonstrates the relative variability compared to the mean salary.
Tips
- Failing to properly sort the salaries before determining quartiles.
- Not accounting for whether the data set is even or odd when finding medians.
- Miscalculating the variance by not squaring the differences correctly.
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