MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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### Understanding the Sampling Distribution

The problem involves calculating the mean and standard deviation of the sampling distribution for the mean living space of homes in a city.

The city homes have:
- **Mean living space**: 2150 square feet
- **Standard deviation**: 400 square feet

A random sample of 50 homes is selected. We need to find the following:

#### 1. Mean of the Sampling Distribution of \(\bar{x}\)

The mean of the sampling distribution of the sample mean (\(\bar{x}\)) is the same as the mean of the population. Therefore:

- **Mean of \(\bar{x}\) = 2150 square feet**

#### 2. Standard Deviation of the Sampling Distribution of \(\bar{x}\)

The standard deviation of the sampling distribution, also known as the standard error, is calculated using the formula:

\[
\text{Standard deviation of } \bar{x} = \frac{\sigma}{\sqrt{n}}
\]

Where:
- \(\sigma\) is the population standard deviation (400 square feet)
- \(n\) is the sample size (50 homes)

Calculate the standard deviation:

\[
\text{Standard deviation of } \bar{x} = \frac{400}{\sqrt{50}} \approx 56.6 \text{ square feet}
\]

**Note**: Round the answer to one decimal place.
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Transcribed Image Text:### Understanding the Sampling Distribution The problem involves calculating the mean and standard deviation of the sampling distribution for the mean living space of homes in a city. The city homes have: - **Mean living space**: 2150 square feet - **Standard deviation**: 400 square feet A random sample of 50 homes is selected. We need to find the following: #### 1. Mean of the Sampling Distribution of \(\bar{x}\) The mean of the sampling distribution of the sample mean (\(\bar{x}\)) is the same as the mean of the population. Therefore: - **Mean of \(\bar{x}\) = 2150 square feet** #### 2. Standard Deviation of the Sampling Distribution of \(\bar{x}\) The standard deviation of the sampling distribution, also known as the standard error, is calculated using the formula: \[ \text{Standard deviation of } \bar{x} = \frac{\sigma}{\sqrt{n}} \] Where: - \(\sigma\) is the population standard deviation (400 square feet) - \(n\) is the sample size (50 homes) Calculate the standard deviation: \[ \text{Standard deviation of } \bar{x} = \frac{400}{\sqrt{50}} \approx 56.6 \text{ square feet} \] **Note**: Round the answer to one decimal place.
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