Questions: Eat your cereal: Boxes of cereal are labeled as containing 14 ounces. Following are the weights, in ounces, of a sample of 12 boxes. It is reasonable to assume that the population is approximately normal. 13.01, 14.96, 13.10, 13.11, 13.09, 13.01, 13.14, 14.96, 13.04, 13.03, 13.10, 13.11 Part 1 of 2 (a) Construct a 90% confidence interval for the mean weight. Round the answers to at least three decimal places. A 90% confidence interval for the mean weight is < μ < .

Eat your cereal: Boxes of cereal are labeled as containing 14 ounces. Following are the weights, in ounces, of a sample of 12 boxes. It is reasonable to assume that the population is approximately normal.
13.01, 14.96, 13.10, 13.11, 13.09, 13.01, 13.14, 14.96, 13.04, 13.03, 13.10, 13.11
Part 1 of 2
(a) Construct a 90% confidence interval for the mean weight. Round the answers to at least three decimal places.

A 90% confidence interval for the mean weight is  < μ < .
Transcript text: Eat your cereal: Boxes of cereal are labeled as containing 14 ounces. Following are the weights, in ounces, of a sample of 12 boxes. It is reasonable to assume that the population is approximately normal. \begin{tabular}{llllll} \hline 13.01 & 14.96 & 13.10 & 13.11 & 13.09 & 13.01 \\ 13.14 & 14.96 & 13.04 & 13.03 & 13.10 & 13.11 \\ \hline \end{tabular} Part 1 of 2 (a) Construct a $90 \%$ confidence interval for the mean weight. Round the answers to at least three decimal places. A $90 \%$ confidence interval for the mean weight is $\square$ $<\mu<$ $\square$.
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Solution

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Solution Steps

Step 1: Calculate the Sample Mean

The sample mean \( \bar{x} \) is calculated using the formula:

\[ \bar{x} = \frac{\sum_{i=1}^N x_i}{N} = \frac{160.66}{12} = 13.388 \]

Step 2: Calculate the Sample Standard Deviation

The sample standard deviation \( s \) is computed as follows:

\[ s = \sqrt{\frac{\sum_{i=1}^N (x_i - \bar{x})^2}{N-1}} \approx 0.735 \]

Step 3: Determine the Confidence Interval

For a 90% confidence level, we use the t-distribution. The critical value \( t \) for \( n-1 = 11 \) degrees of freedom is approximately \( 1.796 \).

The confidence interval is calculated using the formula:

\[ \bar{x} \pm t \cdot \frac{s}{\sqrt{n}} = 13.388 \pm 1.796 \cdot \frac{0.735}{\sqrt{12}} \]

Calculating the margin of error:

\[ \text{Margin of Error} = 1.796 \cdot \frac{0.735}{\sqrt{12}} \approx 0.381 \]

Thus, the confidence interval is:

\[ (13.388 - 0.381, 13.388 + 0.381) = (13.007, 13.769) \]

Final Answer

The 90% confidence interval for the mean weight is:

\[ \boxed{(13.007, 13.769)} \]

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