Report the margin of error and the confidence interval.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Report the margin of error and the confidence interval.
### Background Information on Hurricane Maria's Impact in Puerto Rico

On September 20, 2017, Hurricane Maria struck Puerto Rico with full force, devastating the island's entire infrastructure. In the aftermath, accurately counting deaths directly linked to the hurricane proved challenging. By November of that year, the official death toll reported by public safety authorities in Puerto Rico was 55. However, this number stirred controversy, as many on the ground felt it was inaccurate. For instance, the mayor of San Juan believed that the true count was closer to 500 deaths, or possibly more, just within the month of September. 

Statistics can be utilized to assess excess deaths by employing confidence intervals, and several groups have conducted such analyses.

### Statistical Task

#### A) Calculating the 95% Confidence Interval

Determine the 95% confidence interval for the true mean number of deaths occurring in Puerto Rico during September, over the seven years preceding Hurricane Maria. This dataset encompasses all causes of death, including those associated with natural events and hurricanes, independent of such occurrences.

#### Data for Calculation

The total deaths in Puerto Rico for the month of September over the years 2010 to 2016 are as follows:

- 2281
- 2359
- 2454
- 2469
- 2495
- 2258
- 2363

[Source](https://www.nytimes.com/interactive/2017/12/08/us/puerto-rico-hurricane-maria-death-toll.html)

#### B) Estimation Using GeoGebra

Utilize GeoGebra to compute the 95% confidence interval estimate and capture a screenshot of your results. Insert the captured image in the designated area provided.
Transcribed Image Text:### Background Information on Hurricane Maria's Impact in Puerto Rico On September 20, 2017, Hurricane Maria struck Puerto Rico with full force, devastating the island's entire infrastructure. In the aftermath, accurately counting deaths directly linked to the hurricane proved challenging. By November of that year, the official death toll reported by public safety authorities in Puerto Rico was 55. However, this number stirred controversy, as many on the ground felt it was inaccurate. For instance, the mayor of San Juan believed that the true count was closer to 500 deaths, or possibly more, just within the month of September. Statistics can be utilized to assess excess deaths by employing confidence intervals, and several groups have conducted such analyses. ### Statistical Task #### A) Calculating the 95% Confidence Interval Determine the 95% confidence interval for the true mean number of deaths occurring in Puerto Rico during September, over the seven years preceding Hurricane Maria. This dataset encompasses all causes of death, including those associated with natural events and hurricanes, independent of such occurrences. #### Data for Calculation The total deaths in Puerto Rico for the month of September over the years 2010 to 2016 are as follows: - 2281 - 2359 - 2454 - 2469 - 2495 - 2258 - 2363 [Source](https://www.nytimes.com/interactive/2017/12/08/us/puerto-rico-hurricane-maria-death-toll.html) #### B) Estimation Using GeoGebra Utilize GeoGebra to compute the 95% confidence interval estimate and capture a screenshot of your results. Insert the captured image in the designated area provided.
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Given is the data on past number of deaths for the month of September.


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