The range of a dataset is the difference between the maximum and minimum values. For the given hotel prices:
\[
\text{Range} = \max(142, 234, 184, 252, 223, 197, 262) - \min(142, 234, 184, 252, 223, 197, 262) = 262 - 142 = 120
\]
Thus, the range of the sample data is \(\boxed{120.0}\).
The mean \(\mu\) of a dataset is calculated as the sum of all data points divided by the number of data points:
\[
\mu = \frac{\sum x_i}{n} = \frac{142 + 234 + 184 + 252 + 223 + 197 + 262}{7} = \frac{1494}{7} = 213.4
\]
The sample variance \(\sigma^2\) is calculated using the formula:
\[
\sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1}
\]
Substituting the values:
\[
\sigma^2 = \frac{(142 - 213.4)^2 + (234 - 213.4)^2 + (184 - 213.4)^2 + (252 - 213.4)^2 + (223 - 213.4)^2 + (197 - 213.4)^2 + (262 - 213.4)^2}{6} = 1766.6
\]
Thus, the variance of the sample data is \(\boxed{1766.6}\).
The standard deviation is the square root of the variance:
\[
\text{Standard Deviation} = \sqrt{\sigma^2} = \sqrt{1766.6} = 42.0
\]
Thus, the standard deviation of the sample data is \(\boxed{42.0}\).
- The range of the sample data is \(\boxed{120.0}\).
- The variance of the sample data is \(\boxed{1766.6}\).
- The standard deviation of the sample data is \(\boxed{42.0}\).