Questions: A sample of 16 people was conducted to see how many cups of coffee (per day) people buy at star-bucks. The sample had a mean of 2.6 cups and a standard deviation of 1.5 cups. What is the margin of error (step 2 ) for a 95 percent confidence interval? Note: Round your answer to two decimal places.

A sample of 16 people was conducted to see how many cups of coffee (per day) people buy at star-bucks. The sample had a mean of 2.6 cups and a standard deviation of 1.5 cups. What is the margin of error (step 2 ) for a 95 percent confidence interval?

Note: Round your answer to two decimal places.
Transcript text: A sample of 16 people was conducted to see how many cups of coffee (per day) people buy at star-bucks. The sample had a mean of 2.6 cups and a standard deviation of 1.5 cups. What is the margin of error (step 2 ) for a 95 percent confidence interval? Note: Round your answer to two decimal places.
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Solution

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Solution Steps

Step 1: Given Data

We have a sample of 16 people with the following statistics:

  • Sample Mean (\( \bar{x} \)) = 2.6 cups
  • Sample Standard Deviation (\( \sigma \)) = 1.5 cups
  • Sample Size (\( n \)) = 16
  • Confidence Level = 95%
Step 2: Z-Score Calculation

For a 95% confidence level, the Z-Score (\( Z \)) is approximately 1.96.

Step 3: Margin of Error Calculation

The formula for the margin of error (\( E \)) is given by:

\[ E = \frac{Z \times \sigma}{\sqrt{n}} \]

Substituting the known values:

\[ E = \frac{1.96 \times 1.5}{\sqrt{16}} = \frac{1.96 \times 1.5}{4} \]

Calculating the margin of error:

\[ E = \frac{2.94}{4} = 0.735 \]

Rounding to two decimal places, we find:

\[ E \approx 0.73 \]

Final Answer

The margin of error for a 95% confidence interval is \\(\boxed{0.73}\\).

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