Final answer:
The sample variance of the given numbers is 1.67.
Step-by-step explanation:
The sample variance of a set of numbers measures the variability or spread of the numbers around their mean. To calculate the sample variance, you need to follow these steps:
- Calculate the mean of the numbers.
- Subtract the mean from each number and square the result.
- Calculate the sum of the squared differences.
- Divide the sum by the number of data points minus one to get the sample variance.
For the given numbers:
Let's calculate the sample variance:
- Mean = (4.5 + 5.5 + 3.5 + 2.5) / 4 = 4.0
- Squared differences: (4.5 - 4.0)^2, (5.5 - 4.0)^2, (3.5 - 4.0)^2, (2.5 - 4.0)^2
- Sum of squared differences: (0.5)^2 + (1.5)^2 + (-0.5)^2 + (-1.5)^2 = 0.25 + 2.25 + 0.25 + 2.25 = 5.0
- Sample variance: 5.0 / (4 - 1) = 5.0 / 3 = 1.67
Therefore, the sample variance of the given numbers is 1.67.