Find the critical value z/2 that corresponds to the confidence level 87%.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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### Critical Value Calculation for Confidence Level

#### Problem Statement:
Find the critical value \( z_{\alpha/2} \) that corresponds to the confidence level of 87%.

#### Solution:
\[ z_{\alpha/2} = \text{[Input Box]} \]

*(Round to two decimal places as needed.)*

---

To solve this problem, you need to convert the given confidence level into a complementary probability and use a standard normal distribution table or calculator to find the critical value \( z_{\alpha/2} \).

- **Confidence Level (CL):** 87% means 0.87 probability.
- **Complementary Probability (alpha):** 
  \[ \alpha = 1 - 0.87 = 0.13 \]

- **Two-tailed \(\alpha\):**
  \[ \alpha/2 = 0.13/2 = 0.065 \]

Now, use a standard normal distribution table or calculator to find the \( z \)-score that corresponds to the area \( 1 - 0.065 = 0.935 \) to the left of it in the standard normal distribution. This will give the critical value \( z_{\alpha/2} \). 

Enter the value in the solution box, rounding to two decimal places as necessary.
Transcribed Image Text:### Critical Value Calculation for Confidence Level #### Problem Statement: Find the critical value \( z_{\alpha/2} \) that corresponds to the confidence level of 87%. #### Solution: \[ z_{\alpha/2} = \text{[Input Box]} \] *(Round to two decimal places as needed.)* --- To solve this problem, you need to convert the given confidence level into a complementary probability and use a standard normal distribution table or calculator to find the critical value \( z_{\alpha/2} \). - **Confidence Level (CL):** 87% means 0.87 probability. - **Complementary Probability (alpha):** \[ \alpha = 1 - 0.87 = 0.13 \] - **Two-tailed \(\alpha\):** \[ \alpha/2 = 0.13/2 = 0.065 \] Now, use a standard normal distribution table or calculator to find the \( z \)-score that corresponds to the area \( 1 - 0.065 = 0.935 \) to the left of it in the standard normal distribution. This will give the critical value \( z_{\alpha/2} \). Enter the value in the solution box, rounding to two decimal places as necessary.
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