According to the United States Census Bureau, the average single-family home constructed in 2016 was 2,438 square feet. Carmen wondered if families in her area still want a smaller home in comparison to the average. She randomly selected 42 people and asked what the ideal square footage of a home is for them. From the responses, she calculated the sample mean equals 1,350 square feet with a sample standard deviation of 44 square feet. Calculate the value of the test statistic. Multiple Choice -159.12

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Chapter1: Combinatorial Analysis
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According to the United States Census Bureau, the average single-family home constructed in 2016 was 2,438 square feet. Carmen wondered if families in her area still want a smaller home in comparison to the average. She randomly selected 42 people and asked what the ideal square footage of a home is for them. From the responses, she calculated the sample mean equals 1,350 square feet with a sample standard deviation of 44 square feet. Calculate the value of the test statistic.

Multiple Choice Options:

1. −159.12
2. 160.11
3. −160.25
4. 159.12

Explanation:

This problem is asking you to calculate the test statistic for the sample data provided. The options suggest different possible values for the test statistic. To find the correct value, you would typically use the formula for the test statistic in a one-sample t-test, which is:

\[ t = \frac{\bar{x} - \mu}{s / \sqrt{n}} \]

where:
- \(\bar{x}\) is the sample mean (1,350),
- \(\mu\) is the population mean (2,438),
- \(s\) is the sample standard deviation (44),
- \(n\) is the sample size (42).

Plug in the values to calculate the test statistic.
Transcribed Image Text:According to the United States Census Bureau, the average single-family home constructed in 2016 was 2,438 square feet. Carmen wondered if families in her area still want a smaller home in comparison to the average. She randomly selected 42 people and asked what the ideal square footage of a home is for them. From the responses, she calculated the sample mean equals 1,350 square feet with a sample standard deviation of 44 square feet. Calculate the value of the test statistic. Multiple Choice Options: 1. −159.12 2. 160.11 3. −160.25 4. 159.12 Explanation: This problem is asking you to calculate the test statistic for the sample data provided. The options suggest different possible values for the test statistic. To find the correct value, you would typically use the formula for the test statistic in a one-sample t-test, which is: \[ t = \frac{\bar{x} - \mu}{s / \sqrt{n}} \] where: - \(\bar{x}\) is the sample mean (1,350), - \(\mu\) is the population mean (2,438), - \(s\) is the sample standard deviation (44), - \(n\) is the sample size (42). Plug in the values to calculate the test statistic.
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