Questions: An insurance company crashed four cars in succession at 5 miles per hour. The cost of repair for each of the four crashes was 420, 453, 402, 229. Compute the range, sample variance, and sample standard deviation cost of repair. The range is s^2= dollars (Round to the nearest whole number as needed.) s= (Round to two decimal places as needed.)

An insurance company crashed four cars in succession at 5 miles per hour. The cost of repair for each of the four crashes was 420, 453, 402, 229. Compute the range, sample variance, and sample standard deviation cost of repair.

The range is 
s^2= dollars 
(Round to the nearest whole number as needed.)
s=
(Round to two decimal places as needed.)
Transcript text: An insurance company crashed four cars in succession at 5 miles per hour. The cost of repair for each of the four crashes was $\$ 420, \$ 453, \$ 402, \$ 229$. Compute the range, sample variance, and sample standard deviation cost of repair. The range is $\$$ $\square$ $s^{2}=$ $\square$ dollars ${ }^{2}$ (Round to the nearest whole number as needed.) $\mathrm{s}=\$$ $\square$ (Round to two decimal places as needed.)
failed

Solution

failed
failed

Solution Steps

Step 1: Calculate the Range

The range of the repair costs is calculated as follows:

\[ \text{Range} = \max(x_i) - \min(x_i) = 453 - 229 = 224 \]

Thus, the range is \( \$224 \).

Step 2: Calculate the Mean

The mean \( \mu \) of the repair costs is given by:

\[ \mu = \frac{\sum x_i}{n} = \frac{420 + 453 + 402 + 229}{4} = \frac{1504}{4} = 376.0 \]

Step 3: Calculate the Sample Variance

The sample variance \( s^2 \) is calculated using the formula:

\[ s^2 = \frac{\sum (x_i - \mu)^2}{n-1} \]

Calculating each term:

\[ \begin{align_} (420 - 376)^2 & = 1936 \\ (453 - 376)^2 & = 5929 \\ (402 - 376)^2 & = 676 \\ (229 - 376)^2 & = 21609 \\ \end{align_} \]

Summing these values:

\[ \sum (x_i - \mu)^2 = 1936 + 5929 + 676 + 21609 = 10050 \]

Thus, the sample variance is:

\[ s^2 = \frac{10050}{4 - 1} = \frac{10050}{3} = 3350.0 \]

Step 4: Calculate the Sample Standard Deviation

The sample standard deviation \( s \) is the square root of the sample variance:

\[ s = \sqrt{s^2} = \sqrt{10050.0} \approx 100.25 \]

Final Answer

The results are summarized as follows:

  • The range is \( \$224 \).
  • The sample variance is \( s^2 = 10050.0 \) dollars\(^2\).
  • The sample standard deviation is \( s = \$100.25 \).

Thus, the final answers are:

\[ \boxed{\text{Range} = 224} \] \[ \boxed{s^2 = 10050.0} \] \[ \boxed{s = 100.25} \]

Was this solution helpful?
failed
Unhelpful
failed
Helpful