Questions: The blowyy drits for a random sample of banks in two cities represent the ATM fees for using another bank's ATM. Compute the sample variance for ATM fees for each city ChyA 225 100 1.50 000 175 Chy 8 125 100 150 125 125 The variance for city A is 5073. (Round to the nearest cent as needed) The variance for city B is . (Round to the nearest cent as needed)

The blowyy drits for a random sample of banks in two cities represent the ATM fees for using another bank's ATM. Compute the sample variance for ATM fees for each city

ChyA 225 100 1.50 000 175

Chy 8 125 100 150 125 125

The variance for city A is 5073. (Round to the nearest cent as needed) The variance for city B is . (Round to the nearest cent as needed)
Transcript text: The blowyy drits fr a randon sample of banks in two cties represent the ATM fees for using another bank's ATM. Compute the sample variance for ATM fees for each city \begin{tabular}{llllll} ChyA & 225 & 100 & 1.50 & 000 & 175 \\ \hline Chy 8 & 125 & 100 & 150 & 125 & 125 \end{tabular} The varace to cty As 5073 Round to the nasest cent as needed) The virarce bor city 855 $\square$ (Rand b the mearst cent as needed)
failed

Solution

failed
failed

Solution Steps

To compute the sample variance for ATM fees for each city, we need to follow these steps:

  1. Calculate the mean (average) of the ATM fees for each city.
  2. Subtract the mean from each ATM fee to find the deviation of each fee from the mean.
  3. Square each deviation.
  4. Sum all the squared deviations.
  5. Divide the sum by the number of data points minus one (n-1) to get the sample variance.
Step 1: Calculate the Mean of ATM Fees for Each City

For City A: \[ \text{Mean}_{A} = \frac{2.25 + 1.00 + 1.50 + 0.00 + 1.75}{5} = \frac{6.50}{5} = 1.30 \]

For City B: \[ \text{Mean}_{B} = \frac{1.25 + 1.00 + 1.50 + 1.25 + 1.25}{5} = \frac{6.25}{5} = 1.25 \]

Step 2: Calculate the Squared Deviations from the Mean

For City A: \[ \begin{align_} (2.25 - 1.30)^2 & = 0.9025 \\ (1.00 - 1.30)^2 & = 0.0900 \\ (1.50 - 1.30)^2 & = 0.0400 \\ (0.00 - 1.30)^2 & = 1.6900 \\ (1.75 - 1.30)^2 & = 0.2025 \\ \end{align_} \]

For City B: \[ \begin{align_} (1.25 - 1.25)^2 & = 0.0000 \\ (1.00 - 1.25)^2 & = 0.0625 \\ (1.50 - 1.25)^2 & = 0.0625 \\ (1.25 - 1.25)^2 & = 0.0000 \\ (1.25 - 1.25)^2 & = 0.0000 \\ \end{align_} \]

Step 3: Sum the Squared Deviations

For City A: \[ \text{Sum of Squared Deviations}_{A} = 0.9025 + 0.0900 + 0.0400 + 1.6900 + 0.2025 = 2.9250 \]

For City B: \[ \text{Sum of Squared Deviations}_{B} = 0.0000 + 0.0625 + 0.0625 + 0.0000 + 0.0000 = 0.1250 \]

Step 4: Calculate the Sample Variance

For City A: \[ \text{Variance}_{A} = \frac{2.9250}{5 - 1} = \frac{2.9250}{4} = 0.7313 \]

For City B: \[ \text{Variance}_{B} = \frac{0.1250}{5 - 1} = \frac{0.1250}{4} = 0.0313 \]

Final Answer

\(\boxed{\text{Variance}_{B} = 0.0313}\)

Was this solution helpful?
failed
Unhelpful
failed
Helpful