Find the critical values x²₁ and x²R for the given confidence level c and sample size n. L c=0.8, n = 22 X²L² = (Round to three decimal places as needed.) X²R= (Round to three decimal places as needed.)

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### Finding Critical Values for Chi-Square Distribution

To calculate confidence intervals for a population variance, we use the Chi-Square distribution. The critical values for the Chi-Square distribution are denoted as \( \chi^2_L \) and \( \chi^2_R \).

**Given:**
- Confidence Level \( c = 0.8 \)
- Sample Size \( n = 22 \)

Based on this information, we need to find the critical values \( \chi^2_L \) and \( \chi^2_R \).

#### Instructions:

1. **Determine Degrees of Freedom:**
   The degrees of freedom (df) can be calculated as:
   \[
   df = n - 1 = 22 - 1 = 21
   \]

2. **Find Critical Values from Chi-Square Table:**
   Using the Chi-Square table, find the critical values for the given confidence level \( c \) and degrees of freedom \( df \).

3. **Adjust for Confidence Level:**
   For a two-tailed test with confidence level \( c \):
   \[
   \alpha = 1 - c = 1 - 0.8 = 0.2
   \]
   Divide this significance level into two tails:
   \[
   \alpha/2 = 0.2/2 = 0.1
   \]

4. **Locate Critical Values:**
   For \( df = 21 \) and \( \alpha/2 = 0.1 \), find the corresponding critical values \( \chi^2_L \) and \( \chi^2_R \) from the Chi-Square distribution table.

### Inputs:

- \( \chi^2_L \):
  \[
  \text{Round to three decimal places as needed.}
  \]

- \( \chi^2_R \):
  \[
  \text{Round to three decimal places as needed.}
  \]
Transcribed Image Text:### Finding Critical Values for Chi-Square Distribution To calculate confidence intervals for a population variance, we use the Chi-Square distribution. The critical values for the Chi-Square distribution are denoted as \( \chi^2_L \) and \( \chi^2_R \). **Given:** - Confidence Level \( c = 0.8 \) - Sample Size \( n = 22 \) Based on this information, we need to find the critical values \( \chi^2_L \) and \( \chi^2_R \). #### Instructions: 1. **Determine Degrees of Freedom:** The degrees of freedom (df) can be calculated as: \[ df = n - 1 = 22 - 1 = 21 \] 2. **Find Critical Values from Chi-Square Table:** Using the Chi-Square table, find the critical values for the given confidence level \( c \) and degrees of freedom \( df \). 3. **Adjust for Confidence Level:** For a two-tailed test with confidence level \( c \): \[ \alpha = 1 - c = 1 - 0.8 = 0.2 \] Divide this significance level into two tails: \[ \alpha/2 = 0.2/2 = 0.1 \] 4. **Locate Critical Values:** For \( df = 21 \) and \( \alpha/2 = 0.1 \), find the corresponding critical values \( \chi^2_L \) and \( \chi^2_R \) from the Chi-Square distribution table. ### Inputs: - \( \chi^2_L \): \[ \text{Round to three decimal places as needed.} \] - \( \chi^2_R \): \[ \text{Round to three decimal places as needed.} \]
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