The formula for calculating the mean salary is as follows:
$$
\text{Mean} = \frac{23.5 + 33.1 + 18.2 + 56.2 + 29.6 + 44.3 + 38.3 + 26.3 + 22.6 + 27.8}{10}
$$
Therefore, the mean salary is calculated by summing all the values and dividing by the number of data points.
Arrange the data set in ascending order:
Position | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Value | 18.2 | 22.6 | 23.5 | 26.3 | 27.8 | 29.6 | 33.1 | 38.3 | 44.3 | 56.2 |
The formula for finding the median position is:
$$
\text{Median Position} = \frac{n + 1}{2}
$$
Since there are 10 values in the data set, the median position is:
$$
\text{Median Position} = \frac{10 + 1}{2} = 5.5
$$
Since the median position is 5.5 (an average of the 5th and 6th values), we find:
$$
\text{Median} = \frac{27.8 + 29.6}{2} = \frac{57.4}{2} = 28.7
$$
Therefore, the median salary is 28.7.
Step-by-step calculation for the first quartile (Q1):
Step 1: Determine the position of Q1
$$
Q_1\ \text{Position} = \frac{n + 1}{4} = \frac{10 + 1}{4} = 2.75
$$
Step 2: Find the lower and upper values surrounding the position
- Lower value at position 2: (22.6)
- Upper value at position 3: (23.5)
Step 3: Calculate the fractional leftover
$$
\text{Fractional Leftover} = 2.75 – 2 = 0.75
$$
Step 4: Find the fractional value
$$
\text{Fractional Value} = 0.75 \cdot (23.5 – 22.6) = 0.75 \cdot 0.9 = 0.675
$$
Step 5: Add the fractional value to the lower value
$$
Q_1 = 22.6 + 0.675 = 23.275
$$
Therefore, the first quartile (Q1) value is:
$$
Q_1 = 23.275
$$
Step-by-step calculation for the third quartile (Q3):
Step 1: Determine the position of Q3
$$
Q_3\ \text{Position} = \frac {3 \cdot(n + 1)}{4} = \frac {3 \cdot(10 + 1)}{4} = 8.25
$$
Step 2: Find the lower and upper values surrounding the position
- Lower value at position 8: (38.3)
- Upper value at position 9: (44.3)
Step 3: Calculate the fractional leftover
$$
\text{Fractional Leftover} = 8.25 – 8 = 0.25
$$
Step 4: Find the fractional value
$$
\text{Fractional Value} = 0.25 \cdot (44.3 – 38.3) = 0.25 \cdot 6 = 1.5
$$
Step 5: Add the fractional value to the lower value
$$
Q_3 = 38.3 + 1.5 = 39.8
$$
Therefore, the third quartile (Q3) value is:
$$
Q_3 = 39.8
$$
Interpretation: Approximately 25% of the air hostesses earn less than R23,280, while 75% earn less than R39,800. This indicates that the majority of air hostesses have salaries falling below R39,800, with a quarter earning below R23,280.
$$
\text{IQR} = 39.8 – 23.275 = 16.525
$$
The mean is influenced by extreme values or outliers.
Range.