listed below are prices in dollars for one night at different hotels in a certain region. find the range…

listed below are prices in dollars for one night at different hotels in a certain region. find the range, variance, and standard deviation for the given sample data. include appropriate units in the results. how useful are the measures of variation for someone searching for a room? 250 289 190 122 219 194 75 108 the range of the sample data is 214 dollars. (round to one decimal place as needed.) the standard deviation of the sample data is (round to one decimal place as needed.)

listed below are prices in dollars for one night at different hotels in a certain region. find the range, variance, and standard deviation for the given sample data. include appropriate units in the results. how useful are the measures of variation for someone searching for a room? 250 289 190 122 219 194 75 108 the range of the sample data is 214 dollars. (round to one decimal place as needed.) the standard deviation of the sample data is (round to one decimal place as needed.)

Answer

Explanation:

Step1: Calculate the mean

First, find the sum of the data values: $250 + 289+190 + 122+219+194+75+108=1447$. There are $n = 8$ data - points. The mean $\bar{x}=\frac{1447}{8}=180.875$ dollars.

Step2: Calculate the squared differences

For each data - point $x_i$, calculate $(x_i-\bar{x})^2$. For $x_1 = 250$: $(250 - 180.875)^2=(69.125)^2 = 4778.265625$. For $x_2 = 289$: $(289 - 180.875)^2=(108.125)^2 = 11690.515625$. For $x_3 = 190$: $(190 - 180.875)^2=(9.125)^2 = 83.265625$. For $x_4 = 122$: $(122 - 180.875)^2=(-58.875)^2 = 3467.265625$. For $x_5 = 219$: $(219 - 180.875)^2=(38.125)^2 = 1453.515625$. For $x_6 = 194$: $(194 - 180.875)^2=(13.125)^2 = 172.265625$. For $x_7 = 75$: $(75 - 180.875)^2=(-105.875)^2 = 11218.515625$. For $x_8 = 108$: $(108 - 180.875)^2=(-72.875)^2 = 5317.765625$.

Step3: Calculate the variance

The sample variance $s^2=\frac{\sum_{i = 1}^{n}(x_i-\bar{x})^2}{n - 1}$. $\sum_{i = 1}^{8}(x_i-\bar{x})^2=4778.265625+11690.515625+83.265625+3467.265625+1453.515625+172.265625+11218.515625+5317.765625 = 38181.375$. $s^2=\frac{38181.375}{7}\approx5454.5$.

Step4: Calculate the standard deviation

The sample standard deviation $s=\sqrt{s^2}=\sqrt{5454.5}\approx73.8$ dollars.

Answer:

The standard deviation of the sample data is $73.8$ dollars.