Questions: Here are summary statistics for the weights of Pepsi in randomly selected cans: n=36, x̄=0.82414 lb, s=0.00573 lb. Use a confidence level of 95% to complete parts (a) through (d) below. a. Identify the critical value t(α / 2) used for finding the margin of error. t(α / 2)=2.03 (Round to two decimal places as needed.)

Here are summary statistics for the weights of Pepsi in randomly selected cans: n=36, x̄=0.82414 lb, s=0.00573 lb. Use a confidence level of 95% to complete parts (a) through (d) below.
a. Identify the critical value t(α / 2) used for finding the margin of error.

t(α / 2)=2.03

(Round to two decimal places as needed.)
Transcript text: Here are summary statistics for the weights of Pepsi in randomly selected cans: $n=36, \bar{x}=0.82414 \mathrm{lb}, \mathrm{s}=0.00573 \mathrm{lb}$. Use a confidence level of $95 \%$ to complete parts (a) through (d) below. a. Identify the critical value $\mathrm{t}_{\alpha / 2}$ used for finding the margin of error. \[ \mathrm{t}_{\alpha / 2}=2.03 \] (Round to two decimal places as needed.)
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Solution

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Solution Steps

Step 1: Given Data

We have the following summary statistics for the weights of Pepsi in randomly selected cans:

  • Sample size \( n = 36 \)
  • Sample mean \( \bar{x} = 0.82414 \, \text{lb} \)
  • Sample standard deviation \( s = 0.00573 \, \text{lb} \)
  • Confidence level \( 95\% \)
Step 2: Calculate the Confidence Interval

To calculate the confidence interval for the mean, we use the formula: \[ \bar{x} \pm z \frac{s}{\sqrt{n}} \] For a \( 95\% \) confidence level, the critical value \( z \) is approximately \( 1.96 \). Thus, we compute: \[ \text{Margin of Error} = z \frac{s}{\sqrt{n}} = 1.96 \cdot \frac{0.00573}{\sqrt{36}} = 1.96 \cdot \frac{0.00573}{6} \approx 0.00187 \] The confidence interval is then: \[ (0.82414 - 0.00187, 0.82414 + 0.00187) = (0.82227, 0.82601) \] Rounding to two decimal places, we have: \[ \text{Confidence Interval} = (0.82, 0.83) \]

Step 3: Calculate the Critical Value \( t_{\alpha/2} \)

The critical value \( t_{\alpha/2} \) is calculated based on the margin of error and the sample standard deviation: \[ t_{\alpha/2} = \frac{\text{Margin of Error}}{\frac{s}{\sqrt{n}}} \] Using the margin of error calculated earlier: \[ t_{\alpha/2} = \frac{0.00187}{\frac{0.00573}{\sqrt{36}}} = \frac{0.00187}{0.000955} \approx 5.24 \]

Final Answer

The confidence interval for the mean is \( (0.82, 0.83) \) and the critical value \( t_{\alpha/2} \) is approximately \( 5.24 \).

\[ \boxed{\text{Confidence Interval: } (0.82, 0.83) \text{ and } t_{\alpha/2} \approx 5.24} \]

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