Assuming the population has an approximate normal distribution, if a sample size n = 29 nas a sample mean ī = 50 with a sample standard deviation s = 5, find the margin of error at a 98% confidence level. Round the answer to two decimal places.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Problem Statement:**

Assuming the population has an approximate normal distribution, if a sample size \( n = 29 \) has a sample mean \( \bar{x} = 50 \) with a sample standard deviation \( s = 5 \), find the margin of error at a 98% confidence level. *Round the answer to two decimal places.*

**Solution Process:**

1. **Identify Known Values:**
   - Sample size (\( n \)): 29
   - Sample mean (\( \bar{x} \)): 50
   - Sample standard deviation (\( s \)): 5
   - Confidence level: 98%

2. **Identify the Appropriate Statistic:**
   - Since the standard deviation is known and the sample size is less than 30, use the *t-distribution*.
   - Calculate the number of degrees of freedom (\( df \)): \( n - 1 = 28 \).

3. **Find the Critical t-value (\( t^* \)) for the Desired Confidence Level:**
   - Use a t-table or statistical software to find \( t^* \) for 98% confidence and 28 degrees of freedom.

4. **Calculate the Margin of Error (ME):**
   - Formula: \( ME = t^* \times \left( \frac{s}{\sqrt{n}} \right) \)

5. **Round the Margin of Error:**
   - Round your calculated margin of error to two decimal places.

**Graphs/Diagrams:**
- There are no graphs or diagrams in this problem. 

This explanation will guide students in understanding how to approach and solve the problem of finding a margin of error using information from a sample dataset.
Transcribed Image Text:**Problem Statement:** Assuming the population has an approximate normal distribution, if a sample size \( n = 29 \) has a sample mean \( \bar{x} = 50 \) with a sample standard deviation \( s = 5 \), find the margin of error at a 98% confidence level. *Round the answer to two decimal places.* **Solution Process:** 1. **Identify Known Values:** - Sample size (\( n \)): 29 - Sample mean (\( \bar{x} \)): 50 - Sample standard deviation (\( s \)): 5 - Confidence level: 98% 2. **Identify the Appropriate Statistic:** - Since the standard deviation is known and the sample size is less than 30, use the *t-distribution*. - Calculate the number of degrees of freedom (\( df \)): \( n - 1 = 28 \). 3. **Find the Critical t-value (\( t^* \)) for the Desired Confidence Level:** - Use a t-table or statistical software to find \( t^* \) for 98% confidence and 28 degrees of freedom. 4. **Calculate the Margin of Error (ME):** - Formula: \( ME = t^* \times \left( \frac{s}{\sqrt{n}} \right) \) 5. **Round the Margin of Error:** - Round your calculated margin of error to two decimal places. **Graphs/Diagrams:** - There are no graphs or diagrams in this problem. This explanation will guide students in understanding how to approach and solve the problem of finding a margin of error using information from a sample dataset.
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