Questions: Question 14, 3.2.11 HW Score: 47.41%, 16.12 of 34 points Points: 0.71 of 1 Listed below are prices in dollars per night of stay at hotels. 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? 142 234 184 252 223 197 262 The range of the sample data is = (Round to one decimal place as needed.) Clear all Check answer

 Question 14, 3.2.11

HW Score: 47.41%, 16.12 of 34 points
Points: 0.71 of 1

Listed below are prices in dollars per night of stay at hotels. 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?

142 234 184 252 223 197 262

The range of the sample data is  =

(Round to one decimal place as needed.)

Clear all Check answer
Transcript text: Question 14, 3.2.11 HW Score: 47.41%, 16.12 of 34 points Points: 0.71 of 1 Listed below are prices in dollars per night of stay at hotels. 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? 142 234 184 252 223 197 262 The range of the sample data is $ = (Round to one decimal place as needed.) Clear all Check answer
failed

Solution

failed
failed

Solution Steps

Step 1: Calculate the Range

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 \(\boxed{120.0}\).

Step 2: Calculate the Mean

The mean \(\mu\) of a dataset is calculated as the sum of all data points divided by the number of data points:

\[ \mu = \frac{\sum x_i}{n} = \frac{142 + 234 + 184 + 252 + 223 + 197 + 262}{7} = \frac{1494}{7} = 213.4 \]

Step 3: Calculate the Variance

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 \(\boxed{1766.6}\).

Step 4: Calculate the Standard Deviation

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 \(\boxed{42.0}\).

Final Answer

  • 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 \(\boxed{42.0}\).
Was this solution helpful?
failed
Unhelpful
failed
Helpful