Questions: Eat your cereal: Boxes of cereal are labeled as containing 14 ounces. Following are the weights, in ounces, of a sample of 16 boxes. It is reasonable to assume that the population is approximately normal. 14.07, 13.98, 14.16, 14.17, 14.11, 14.03, 14.16, 13.98, 14.06, 14.05, 14.12, 14.13, 14.19, 14.17, 14.05, 14.04, Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct a 95% confidence interval for the mean weight. Round the answers to at least three decimal places. A 95% 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 16 boxes. It is reasonable to assume that the population is approximately normal.
14.07, 13.98, 14.16, 14.17, 14.11, 14.03, 14.16, 13.98,
14.06, 14.05, 14.12, 14.13, 14.19, 14.17, 14.05, 14.04,
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Part: 0 / 2

Part 1 of 2
(a) Construct a 95% confidence interval for the mean weight. Round the answers to at least three decimal places.

A 95% 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 16 boxes. It is reasonable to assume that the population is approximately normal. \begin{tabular}{llllllll} \hline 14.07 & 13.98 & 14.16 & 14.17 & 14.11 & 14.03 & 14.16 & 13.98 \\ 14.06 & 14.05 & 14.12 & 14.13 & 14.19 & 14.17 & 14.05 & 14.04 \\ \hline \end{tabular} Send data to Excel Part: $0 / 2$ Part 1 of 2 (a) Construct a $95 \%$ confidence interval for the mean weight. Round the answers to at least three decimal places. A $95 \%$ 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 Mean

The mean weight of the cereal boxes is calculated as follows:

\[ \mu = \frac{\sum_{i=1}^N x_i}{N} = \frac{225.47}{16} = 14.092 \]

Step 2: Calculate the Sample Standard Deviation

The variance is calculated using the formula:

\[ \sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1} = 0.005 \]

Thus, the sample standard deviation is:

\[ \sigma = \sqrt{0.005} = 0.068 \]

Step 3: Calculate the Margin of Error

For a 95% confidence level, the Z-score is \( Z = 1.96 \). The margin of error is calculated as:

\[ \text{Margin of Error} = \frac{Z \times \sigma}{\sqrt{n}} = \frac{1.96 \times 0.068}{\sqrt{16}} = 0.033 \]

Step 4: Construct the Confidence Interval

The 95% confidence interval for the mean weight is given by:

\[ \text{Lower Bound} = \mu - \text{Margin of Error} = 14.092 - 0.033 = 14.059 \]

\[ \text{Upper Bound} = \mu + \text{Margin of Error} = 14.092 + 0.033 = 14.125 \]

Thus, the confidence interval is:

\[ 14.059 < \mu < 14.125 \]

Final Answer

The 95% confidence interval for the mean weight is \\(\boxed{14.059 < \mu < 14.125}\\).

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