To find the range, variance, and standard deviation of the given data set, we will follow these steps:
- Range: Calculate the difference between the maximum and minimum values in the data set.
- Variance: Compute the average of the squared differences from the mean of the data set.
- Standard Deviation: Take the square root of the variance to find the standard deviation.
The range of a data set is the difference between the maximum and minimum values. For the given data set \([3.3, 2.3, 2.6, 2.4, 2.5, 2.6]\), the maximum value is \(3.3\) and the minimum value is \(2.3\).
\[
\text{Range} = 3.3 - 2.3 = 1.0
\]
Variance is the average of the squared differences from the mean. First, calculate the mean \(\mu\) of the data set:
\[
\mu = \frac{3.3 + 2.3 + 2.6 + 2.4 + 2.5 + 2.6}{6} = \frac{15.7}{6} \approx 2.6167
\]
Next, calculate the squared differences from the mean and their average:
\[
\text{Variance} = \frac{(3.3 - 2.6167)^2 + (2.3 - 2.6167)^2 + (2.6 - 2.6167)^2 + (2.4 - 2.6167)^2 + (2.5 - 2.6167)^2 + (2.6 - 2.6167)^2}{6} \approx 0.1047
\]
The standard deviation is the square root of the variance:
\[
\text{Standard Deviation} = \sqrt{0.1047} \approx 0.3236
\]
- Range: \(\boxed{1.0}\)
- Variance: \(\boxed{0.1047}\)
- Standard Deviation: \(\boxed{0.3236}\)