Questions: Here are summary statistics for the weights of Pepsi in randomly selected cans: n=36, x̄=0.82409 lb, s=0.00567 lb. Use a confidence level of 95% to complete parts (a) through (d) below. a. Identify the critical value tα/2 used for finding the margin of error. tα/2=2.03 (Round to two decimal places as needed.) b. Find the margin of error. E=0.00192 lb (Round to five decimal places as needed.) c. Find the confidence interval estimate of μ. 0.82217 lb<μ<0.82601 lb (Round to five decimal places as needed.)

Here are summary statistics for the weights of Pepsi in randomly selected cans: n=36, x̄=0.82409 lb, s=0.00567 lb. Use a confidence level of 95% to complete parts (a) through (d) below.
a. Identify the critical value tα/2 used for finding the margin of error.
tα/2=2.03
(Round to two decimal places as needed.)
b. Find the margin of error.
E=0.00192 lb
(Round to five decimal places as needed.)
c. Find the confidence interval estimate of μ.
0.82217 lb<μ<0.82601 lb
(Round to five decimal places as needed.)
Transcript text: Here are summary statistics for the weights of Pepsi in randomly selected cans: $\mathrm{n}=36, \bar{x}=0.82409 \mathrm{lb}, \mathrm{s}=0.00567 \mathrm{lb}$. Use a confidence level of $95 \%$ to complete parts (a) through (d) below. a. Identify the critical value $t_{\alpha / 2}$ used for finding the margin of error. \[ t_{\alpha / 2}=2.03 \] (Round to two decimal places as needed.) b. Find the margin of error. \[ E=0.00192 \mathrm{lb} \] (Round to five decimal places as needed.) c. Find the confidence interval estimate of $\mu$. $0.82217 \mathrm{lb}<\mu<0.82601 \mathrm{lb}$ (Round to five decimal places as needed.)
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Solution

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Solution Steps

Step 1: Identify the Critical Value

The critical value \( t_{\alpha/2} \) for a 95% confidence level is given as: \[ t_{\alpha/2} = 2.03 \]

Step 2: Calculate the Margin of Error

The margin of error \( E \) is calculated using the formula: \[ E = t_{\alpha/2} \cdot \frac{s}{\sqrt{n}} \] Substituting the values: \[ E = 2.03 \cdot \frac{0.00567}{\sqrt{36}} = 0.00185 \] Thus, the margin of error is: \[ E = 0.00185 \text{ lb} \]

Step 3: Find the Confidence Interval Estimate of \( \mu \)

The confidence interval for the mean \( \mu \) is given by: \[ \bar{x} \pm t_{\alpha/2} \cdot \frac{s}{\sqrt{n}} \] Calculating the lower and upper bounds: \[ \text{Lower Bound} = 0.82409 - 2.03 \cdot \frac{0.00567}{\sqrt{36}} = 0.82224 \] \[ \text{Upper Bound} = 0.82409 + 2.03 \cdot \frac{0.00567}{\sqrt{36}} = 0.82594 \] Thus, the confidence interval is: \[ 0.82224 \text{ lb} < \mu < 0.82594 \text{ lb} \]

Final Answer

\[ \text{Margin of Error: } \boxed{E = 0.00185 \text{ lb}} \] \[ \text{Confidence Interval: } \boxed{0.82224 \text{ lb} < \mu < 0.82594 \text{ lb}} \]

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