7.2.18 In the week before and the week after a holiday, there were 10,000 total deaths, and 4963 of them occurred in the week before the holiday. a. Construct a 95% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday. b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday?

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### Educational Website Transcription

#### Topic: Statistical Analysis of Death Rates Around Holidays

**Problem Statement: 7.2.18**

In the week before and the week after a holiday, there were 10,000 total deaths, and 4963 of them occurred in the week before the holiday.

**Questions:**
a. Construct a 95% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday.

b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday?

---

**Answer Fields:**
- Inputs required in text boxes followed by a button labeled "Check Answer."

**Data Summary:**
- Total deaths in 2 weeks: 10,000
- Deaths in the week before the holiday: 4963

**Instructions:**
- To answer the questions, calculations need to be made as indicated.
- For part a, use the provided data to construct a 95% confidence interval.
- For part b, analyze the confidence interval to infer if there is any significance in the timing of deaths relative to the holiday.

**Graph/Diagram Explanation:**
This task does not provide any explicit graphs or diagrams within the image. Instead, it requires mathematical computation to analyze the given dataset. The main task involves understanding proportion and confidence intervals in the context of biostatistics.

**Interactive Component:**
- Users are prompted to enter their answer in the provided input fields for checking.

**Note:** Ensure to round to three decimal places where necessary.
Transcribed Image Text:### Educational Website Transcription #### Topic: Statistical Analysis of Death Rates Around Holidays **Problem Statement: 7.2.18** In the week before and the week after a holiday, there were 10,000 total deaths, and 4963 of them occurred in the week before the holiday. **Questions:** a. Construct a 95% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday. b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday? --- **Answer Fields:** - Inputs required in text boxes followed by a button labeled "Check Answer." **Data Summary:** - Total deaths in 2 weeks: 10,000 - Deaths in the week before the holiday: 4963 **Instructions:** - To answer the questions, calculations need to be made as indicated. - For part a, use the provided data to construct a 95% confidence interval. - For part b, analyze the confidence interval to infer if there is any significance in the timing of deaths relative to the holiday. **Graph/Diagram Explanation:** This task does not provide any explicit graphs or diagrams within the image. Instead, it requires mathematical computation to analyze the given dataset. The main task involves understanding proportion and confidence intervals in the context of biostatistics. **Interactive Component:** - Users are prompted to enter their answer in the provided input fields for checking. **Note:** Ensure to round to three decimal places where necessary.
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