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Find the margin of error for the given values of c, s, and n. c = 0.90, s = 3.6, n = 18 Click the icon to view the t-distribution table.

Find the margin of error for the given values of c, s, and n. c = 0.90, s = 3.6, n = 18 Click the icon to view the t-distribution table.

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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**Finding the Margin of Error: An Example** To calculate the margin of error for the given values, let's use the parameters: - Confidence level (c) = 0.90 - Standard deviation (s) = 3.6 - Sample size (n) = 18 **Instructions:** 1. **Access the t-distribution table**: Click the icon provided to view the t-distribution table, which is necessary for determining the t-score based on the given confidence level and degrees of freedom. 2. **Calculate the Margin of Error**: Use the formula for margin of error: \[ \text{Margin of Error} = t \times \frac{s}{\sqrt{n}} \] where \( t \) is the t-score from the t-distribution table, \( s \) is the standard deviation, and \( n \) is the sample size. 3. **Round the result**: After calculating, round the margin of error to one decimal place as needed. **Solution Box:** The margin of error is [ ] (Round to one decimal place as needed.)
Transcribed Image Text:**Finding the Margin of Error: An Example** To calculate the margin of error for the given values, let's use the parameters: - Confidence level (c) = 0.90 - Standard deviation (s) = 3.6 - Sample size (n) = 18 **Instructions:** 1. **Access the t-distribution table**: Click the icon provided to view the t-distribution table, which is necessary for determining the t-score based on the given confidence level and degrees of freedom. 2. **Calculate the Margin of Error**: Use the formula for margin of error: \[ \text{Margin of Error} = t \times \frac{s}{\sqrt{n}} \] where \( t \) is the t-score from the t-distribution table, \( s \) is the standard deviation, and \( n \) is the sample size. 3. **Round the result**: After calculating, round the margin of error to one decimal place as needed. **Solution Box:** The margin of error is [ ] (Round to one decimal place as needed.)
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