The image presents a statistical analysis task related to a survey on the number of books people read in the previous year. Below is a transcription suitable for an educational website.---**Survey Analysis on Book Reading Habits**People were surveyed on the number of books they read in the previous year. The initial survey results show a standard deviation (s) of 13.3 books.### Questions and Solutions1. **(a) Sample Size for 95% Confidence Level:** - To achieve a 95% confidence level, the survey requires **43 subjects**. (The result is rounded up to the nearest whole subject.)2. **(b) Estimation Accuracy Within Two Books:** - How many subjects are needed to estimate the mean number of books read in the previous year within two books with 95% confidence? - A confidence level of 95% requires **170 subjects**. (Rounded to the nearest subject.)3. **(c) Effect of Doubling Accuracy on Sample Size:** - What effect does doubling the required accuracy have on the sample size? - Doubling the required accuracy nearly **quadruples the sample size**. (Correct option: D)4. **(d) Estimation Accuracy Within Four Books with 99% Confidence:** - How many subjects are needed to estimate the mean number of books read the previous year within four books with 99% confidence? - The calculation requires entering the result in the answer box for verification.### Instructions- Enter your answer in the provided answer box and click "Check Answer" to validate your response.---This structure highlights the mathematical calculations involved in determining the sample sizes needed for varying levels of accuracy and confidence.

(d) The mean number if books read the previous year within four books, and standard deviation is13.3…

(d) How many subjects are needed to estimate the mean number of books read the previous year within four books with 99% confidence? This 99% confidence level requires subjects. (Round up to the nearest subject.)

(d) How many subjects are needed to estimate the mean number of books read the previous year within four books with 99% confidence? This 99% confidence level requires subjects. (Round up to the nearest subject.)

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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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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The image presents a statistical analysis task related to a survey on the number of books people read in the previous year. Below is a transcription suitable for an educational website.

---

**Survey Analysis on Book Reading Habits**

People were surveyed on the number of books they read in the previous year. The initial survey results show a standard deviation (s) of 13.3 books.

### Questions and Solutions

1. **(a) Sample Size for 95% Confidence Level:**
- To achieve a 95% confidence level, the survey requires **43 subjects**. (The result is rounded up to the nearest whole subject.)

2. **(b) Estimation Accuracy Within Two Books:**
- How many subjects are needed to estimate the mean number of books read in the previous year within two books with 95% confidence?
- A confidence level of 95% requires **170 subjects**. (Rounded to the nearest subject.)

3. **(c) Effect of Doubling Accuracy on Sample Size:**
- What effect does doubling the required accuracy have on the sample size?
- Doubling the required accuracy nearly **quadruples the sample size**. (Correct option: D)

4. **(d) Estimation Accuracy Within Four Books with 99% Confidence:**
- How many subjects are needed to estimate the mean number of books read the previous year within four books with 99% confidence?
- The calculation requires entering the result in the answer box for verification.

### Instructions

- Enter your answer in the provided answer box and click "Check Answer" to validate your response.

---

This structure highlights the mathematical calculations involved in determining the sample sizes needed for varying levels of accuracy and confidence.

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