### Standard Error Calculation and Normality AssessmentIn this exercise, you will calculate the standard error for different sample sizes and proportions, then determine if normality may be assumed. Please round your answers to 4 decimal places.#### Data Table:1. **(a)** - Sample size ($n$): 23 - Proportion ($\pi$): 0.27 - **Standard Error**: [Input field] - **Normality**: [Dropdown menu]2. **(b)** - Sample size ($n$): 47 - Proportion ($\pi$): 0.19 - **Standard Error**: [Input field] - **Normality**: [Dropdown menu]3. **(c)** - Sample size ($n$): 105 - Proportion ($\pi$): 0.20 - **Standard Error**: [Input field] - **Normality**: [Dropdown menu]4. **(d)** - Sample size ($n$): 459 - Proportion ($\pi$): 0.003 - **Standard Error**: [Input field] - **Normality**: [Dropdown menu]The exercise involves assessing whether the sample sizes and calculated standard errors allow us to assume that the distribution is approximately normal. The determination of normality is often based on rules such as the Central Limit Theorem, which can be applied under certain conditions related to sample size and proportion.

Answered: Image /qna-images/answer/12ac9f27-ffd0-424d-ab09-9532e4443f38.jpg

Calculate the standard error. May normality be assumed? (Round your answers to 4 decimal places.) Standard Error Normality (Click to select) (Click to select) (Click to select) v (Click to select) ♥ (a) 23, T =.27 (b) n- 47, 7 = .19 (c) (d) n 105, A = .20 n 459, A = .003

Calculate the standard error. May normality be assumed? (Round your answers to 4 decimal places.) Standard Error Normality (Click to select) (Click to select) (Click to select) v (Click to select) ♥ (a) 23, T =.27 (b) n- 47, 7 = .19 (c) (d) n 105, A = .20 n 459, A = .003

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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Concept explainers

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.

Question

### Standard Error Calculation and Normality Assessment

In this exercise, you will calculate the standard error for different sample sizes and proportions, then determine if normality may be assumed. Please round your answers to 4 decimal places.

#### Data Table:

1. **(a)**
- Sample size ($n$): 23
- Proportion ($\pi$): 0.27
- **Standard Error**: [Input field]
- **Normality**: [Dropdown menu]

2. **(b)**
- Sample size ($n$): 47
- Proportion ($\pi$): 0.19
- **Standard Error**: [Input field]
- **Normality**: [Dropdown menu]

3. **(c)**
- Sample size ($n$): 105
- Proportion ($\pi$): 0.20
- **Standard Error**: [Input field]
- **Normality**: [Dropdown menu]

4. **(d)**
- Sample size ($n$): 459
- Proportion ($\pi$): 0.003
- **Standard Error**: [Input field]
- **Normality**: [Dropdown menu]

The exercise involves assessing whether the sample sizes and calculated standard errors allow us to assume that the distribution is approximately normal. The determination of normality is often based on rules such as the Central Limit Theorem, which can be applied under certain conditions related to sample size and proportion.

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