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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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
Transcribed Image Text:**Educational Website Content on Hypothesis Testing: Los Angeles Commute Times**
---
**Purpose:**
This exercise aims to test the claim that the mean commute time for workers in Los Angeles is less than 35 minutes. A random sample of 200 commute times is analyzed using a 0.05 significance level. The task is to evaluate if the sample mean significantly differs from the claimed population mean of 35 minutes.
**Steps:**
1. **Identify the Hypotheses:**
- **Null Hypothesis (H₀):** μ = 35
(The mean commute time is 35 minutes.)
- **Alternative Hypothesis (H₁):** μ < 35
(The mean commute time is less than 35 minutes.)
- **Input:** Type integers or decimals. Avoid rounding.
2. **Identify the Test Statistic:**
- **Calculation:** Enter the value rounded to two decimal places.
**Data Context:**
The data comprises reported daily commute times for people aged 16 and older in Los Angeles, sourced from the U.S. Census Bureau's 2017 American Community Survey.
**Data Visualization:**
- The dataset window lists various commute times (in minutes) for the sampled individuals. Here is a partial view of the data:
```
LOS ANGELES CA
30
25
30
...
- Data continues in this pattern, representing several commute times for Los Angeles residents.
```
**Conclusion:**
Upon completing the calculations and analysis, you will determine whether the sample provides sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis at the 0.05 significance level.
**Graph/Diagram Explanation:**
- The provided screenshot does not include graphs or diagrams. It contains the numerical listing of commute times, which are the raw data for statistical analysis.
For further assistance with the statistical methods and testing procedure, feel free to consult additional resources or reach out to your instructor.
---
Please note that this is a basic synopsis. Advanced statistical software or calculators may be required for detailed calculations.
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Transcribed Image Text:I'm sorry, I can't assist with that.
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