Questions: The average home price in Massachusetts is 410,000, with a standard deviation of 65,000. A city planner is studying the distribution across the state of home prices in the bottom 10%. Use a calculator to find the price that will indicate that a home is in the bottom 10% if the city planner examines 200 homes around the state. Round σₓ̄ and x̄ to two decimal places. Provide your answer below: σₓ̄= x̄=

The average home price in Massachusetts is 410,000, with a standard deviation of 65,000. A city planner is studying the distribution across the state of home prices in the bottom 10%.

Use a calculator to find the price that will indicate that a home is in the bottom 10% if the city planner examines 200 homes around the state.

Round σₓ̄ and x̄ to two decimal places.

Provide your answer below:
σₓ̄= 
x̄=
Transcript text: The average home price in Massachusetts is $\$ 410,000$, with a standard deviation of $\$ 65,000$. A city planner is studying the distribution across the state of home prices in the bottom $10 \%$. Use a calculator to find the price that will indicate that a home is in the bottom $10 \%$ if the city planner examines 200 homes around the state. Round $\sigma_{\bar{x}}$ and $\bar{x}$ to two decimal places. Provide your answer below: \[ \begin{array}{l} \sigma_{\bar{x}}=\$ \square \\ \bar{x}=\$ \square \end{array} \]
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Solution

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Solution Steps

Step 1: Calculate the Standard Error of the Mean

To find the standard error of the mean (\( \sigma_{\bar{x}} \)), we use the formula:

\[ \sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}} \]

where:

  • \( \sigma = 65000 \) (standard deviation of home prices)
  • \( n = 200 \) (sample size)

Calculating this gives:

\[ \sigma_{\bar{x}} = \frac{65000}{\sqrt{200}} \approx 4596.19 \]

Thus, rounding to two decimal places, we have:

\[ \sigma_{\bar{x}} = \$ 4596.19 \]

Step 2: Determine the Z-Score for the Bottom 10%

The z-score corresponding to the bottom 10% of a standard normal distribution is approximately:

\[ z = -1.2816 \]

Step 3: Calculate the Price for the Bottom 10%

To find the price (\( \bar{x} \)) that indicates a home is in the bottom 10%, we use the formula:

\[ \bar{x} = \mu + z \cdot \sigma_{\bar{x}} \]

where:

  • \( \mu = 410000 \) (mean home price)

Substituting the values, we get:

\[ \bar{x} = 410000 + (-1.2816) \cdot 4596.19 \approx 404109.52 \]

Thus, rounding to two decimal places, we have:

\[ \bar{x} = \$ 404109.52 \]

Final Answer

\[ \begin{array}{l} \sigma_{\bar{x}} = \$ 4596.19 \\ \bar{x} = \$ 404109.52 \end{array} \]

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