What t* critical value would you use for a confidence interval for the population mean in each of the following situations? Use 3 decimal places. (a) For a 95% confidence interval based on n = 13 observations: X 2.160 (b) For a 99% confidence interval from an SRS of 23 observations: X 2.807 (c) For an 80% confidence interval from a sample of size 6: X 1.440

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### Critical Values for Confidence Intervals

Determine the appropriate \( t^* \) critical value for a confidence interval of the population mean in these scenarios. Use three decimal places.

**(a)** For a 95% confidence interval with \( n = 13 \) observations:  
**Value:** Incorrect (2.160)

**(b)** For a 99% confidence interval from a simple random sample (SRS) of 23 observations:  
**Value:** Incorrect (2.807)

**(c)** For an 80% confidence interval from a sample size of 6:  
**Value:** Incorrect (1.440)

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For a confidence level \( C \), calculate \( \alpha = 1 - C \). Determine the \( t \)-value for \( 1 - \frac{\alpha}{2} \) percentile using the Excel formula:  
\[ = \text{t.inv}(\text{probability}, \text{df}) \]  
where \(\text{df} = n - 1\).
Transcribed Image Text:### Critical Values for Confidence Intervals Determine the appropriate \( t^* \) critical value for a confidence interval of the population mean in these scenarios. Use three decimal places. **(a)** For a 95% confidence interval with \( n = 13 \) observations: **Value:** Incorrect (2.160) **(b)** For a 99% confidence interval from a simple random sample (SRS) of 23 observations: **Value:** Incorrect (2.807) **(c)** For an 80% confidence interval from a sample size of 6: **Value:** Incorrect (1.440) --- ### Feedback **General Feedback** For a confidence level \( C \), calculate \( \alpha = 1 - C \). Determine the \( t \)-value for \( 1 - \frac{\alpha}{2} \) percentile using the Excel formula: \[ = \text{t.inv}(\text{probability}, \text{df}) \] where \(\text{df} = n - 1\).
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