Find the critical values x²₁ and x²R for the given confidence level c and sample size n. L c=0.98, n=20 XL = 2.088 (Round to three decimal places as needed.) ***

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Finding Critical Values for the Chi-Square Distribution**

To find the critical values \( \chi^2_L \) and \( \chi^2_R \) for a given confidence level \( c \) and sample size \( n \), we can use the information provided below:

- Confidence level, \( c = 0.98 \)
- Sample size, \( n = 20 \)

The left critical value is calculated as follows:

\[ \chi^2_L = 2.088 \]

*(Note: Values should be rounded to three decimal places as needed.)*

If this process involves using a Chi-Square distribution table or calculator, note that computing \( \chi^2_R \) requires further steps based on symmetry or specific tail probabilities. For comprehensive analyses, similar steps would apply to find \( \chi^2_R \).
Transcribed Image Text:**Finding Critical Values for the Chi-Square Distribution** To find the critical values \( \chi^2_L \) and \( \chi^2_R \) for a given confidence level \( c \) and sample size \( n \), we can use the information provided below: - Confidence level, \( c = 0.98 \) - Sample size, \( n = 20 \) The left critical value is calculated as follows: \[ \chi^2_L = 2.088 \] *(Note: Values should be rounded to three decimal places as needed.)* If this process involves using a Chi-Square distribution table or calculator, note that computing \( \chi^2_R \) requires further steps based on symmetry or specific tail probabilities. For comprehensive analyses, similar steps would apply to find \( \chi^2_R \).
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