Use the given information to find the number of degrees of freedom, the critical values x and x6, and the confidence interval estimate of o. It is reasonable to assume that a simple random sample has been selected from population with a normal distribution. Platelet Counts of Women 95% confidence; n = 28, s = 65.4. Click the icon to view the table of Chi-Square critical values. df = (Type a whole number.)

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Topic: Estimation of Variability in Platelet Counts**

In this section, you are tasked with determining the number of degrees of freedom, the critical chi-square values (\( \chi^2_L \) and \( \chi^2_R \)), and the confidence interval estimate of the standard deviation (\( \sigma \)) for platelet counts in women. It is assumed that the sample is drawn from a normally distributed population.

**Details:**

- **Confidence Level:** 95%
- **Sample Size (n):** 28
- **Sample Standard Deviation (s):** 65.4

To proceed:

- **Step 1:** Calculate the degrees of freedom (df). This can be found using the formula \( \text{df} = n - 1 \).

- **Step 2:** Use the degrees of freedom to find the critical values from the chi-square distribution table. Click on the provided icon to access the table of Chi-Square critical values.

- **Data Entry:** Enter the calculated degrees of freedom in the provided box ([Type a whole number]).

Understanding these values is crucial for constructing a confidence interval to estimate the true standard deviation of the population.
Transcribed Image Text:**Topic: Estimation of Variability in Platelet Counts** In this section, you are tasked with determining the number of degrees of freedom, the critical chi-square values (\( \chi^2_L \) and \( \chi^2_R \)), and the confidence interval estimate of the standard deviation (\( \sigma \)) for platelet counts in women. It is assumed that the sample is drawn from a normally distributed population. **Details:** - **Confidence Level:** 95% - **Sample Size (n):** 28 - **Sample Standard Deviation (s):** 65.4 To proceed: - **Step 1:** Calculate the degrees of freedom (df). This can be found using the formula \( \text{df} = n - 1 \). - **Step 2:** Use the degrees of freedom to find the critical values from the chi-square distribution table. Click on the provided icon to access the table of Chi-Square critical values. - **Data Entry:** Enter the calculated degrees of freedom in the provided box ([Type a whole number]). Understanding these values is crucial for constructing a confidence interval to estimate the true standard deviation of the population.
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