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(d) Compute the expected age of a British nurse contemporary to Florence Nightingale. (Round your answer to two decimal places.) yr (e) Compute the standard deviation o for ages of nurses shown in the distribution. (Round your answer to two decimal places.) yr

(d) Compute the expected age of a British nurse contemporary to Florence Nightingale. (Round your answer to two decimal places.) yr (e) Compute the standard deviation o for ages of nurses shown in the distribution. (Round your answer to two decimal places.) yr

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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**Title: Age Distribution of Nurses in Great Britain during Florence Nightingale's Era** In 1851, Great Britain had 25,466 nurses. The following table provides details on the age distribution of these nurses: | **Age Range (years)** | **Midpoint (x)** | **Percent of Nurses** | |-----------------------|------------------|-----------------------| | 20-29 | 24.5 | 5.1% | | 30-39 | 34.5 | 9.6% | | 40-49 | 44.5 | 19.5% | | 50-59 | 54.5 | 29.1% | | 60-69 | 64.5 | 24.5% | | 70-79 | 74.5 | 10.7% | | 80+ | 84.5 | 1.5% | **Analysis:** - Nurses aged 50-59 represented the largest group (29.1%). - The smallest group was nurses aged 80 and above (1.5%). - The age range with the second highest percentage was 60-69 years (24.5%). This distribution gives insight into the workforce demographics of nurses during the mid-19th century in Great Britain. **Note:** The button labeled "USE SALT" is an interface element likely related to interactive data analysis.
Transcribed Image Text:**Title: Age Distribution of Nurses in Great Britain during Florence Nightingale's Era** In 1851, Great Britain had 25,466 nurses. The following table provides details on the age distribution of these nurses: | **Age Range (years)** | **Midpoint (x)** | **Percent of Nurses** | |-----------------------|------------------|-----------------------| | 20-29 | 24.5 | 5.1% | | 30-39 | 34.5 | 9.6% | | 40-49 | 44.5 | 19.5% | | 50-59 | 54.5 | 29.1% | | 60-69 | 64.5 | 24.5% | | 70-79 | 74.5 | 10.7% | | 80+ | 84.5 | 1.5% | **Analysis:** - Nurses aged 50-59 represented the largest group (29.1%). - The smallest group was nurses aged 80 and above (1.5%). - The age range with the second highest percentage was 60-69 years (24.5%). This distribution gives insight into the workforce demographics of nurses during the mid-19th century in Great Britain. **Note:** The button labeled "USE SALT" is an interface element likely related to interactive data analysis.
### Statistical Analysis of Historical Nurses' Ages #### Computation Tasks: **(d) Expected Age Calculation** - **Task**: Compute the expected age \( \mu \) of a British nurse contemporary to Florence Nightingale. - **Instruction**: Round your answer to two decimal places. - **Answer**: [Input Text Box] yr **(e) Standard Deviation Calculation** - **Task**: Compute the standard deviation \( \sigma \) for ages of nurses shown in the distribution. - **Instruction**: Round your answer to two decimal places. - **Answer**: [Input Text Box] yr These tasks help in understanding statistical methods applied to historical data, focusing on central tendency (expected value) and data dispersion (standard deviation).
Transcribed Image Text:### Statistical Analysis of Historical Nurses' Ages #### Computation Tasks: **(d) Expected Age Calculation** - **Task**: Compute the expected age \( \mu \) of a British nurse contemporary to Florence Nightingale. - **Instruction**: Round your answer to two decimal places. - **Answer**: [Input Text Box] yr **(e) Standard Deviation Calculation** - **Task**: Compute the standard deviation \( \sigma \) for ages of nurses shown in the distribution. - **Instruction**: Round your answer to two decimal places. - **Answer**: [Input Text Box] yr These tasks help in understanding statistical methods applied to historical data, focusing on central tendency (expected value) and data dispersion (standard deviation).
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