In a survey of 1000 people, mean amount of money they spend on buying Starbuck's coffee per month is $19.40. Use z= 1.96 and o =45 a. What is the margin of error for this study? b. Give an interval that is likely to contain the exact mean amount of money people spend on Starbucks.

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**Question 6: Statistical Study**

In a survey of 1,000 people, the mean amount of money they spend on buying Starbucks coffee per month is $19.40. Use \( z = 1.96 \) and \( \sigma = 0.45 \).

a. **What is the margin of error for this study?**

b. **Give an interval that is likely to contain the exact mean amount of money people spend on Starbucks.**

---

**Solution Explanation:**

To calculate the margin of error (ME), use the formula:

\[ 
ME = z \times \left(\frac{\sigma}{\sqrt{n}}\right) 
\]

where:
- \( z = 1.96 \) (z-score for a 95% confidence level)
- \( \sigma = 0.45 \) (standard deviation)
- \( n = 1000 \) (sample size)

Once the ME is calculated, the confidence interval can be determined using:

\[ 
\text{Confidence Interval} = \text{mean} \pm ME 
\]

Substitute the values into the formulas above to find the margin of error and the confidence interval for the study results.
Transcribed Image Text:**Question 6: Statistical Study** In a survey of 1,000 people, the mean amount of money they spend on buying Starbucks coffee per month is $19.40. Use \( z = 1.96 \) and \( \sigma = 0.45 \). a. **What is the margin of error for this study?** b. **Give an interval that is likely to contain the exact mean amount of money people spend on Starbucks.** --- **Solution Explanation:** To calculate the margin of error (ME), use the formula: \[ ME = z \times \left(\frac{\sigma}{\sqrt{n}}\right) \] where: - \( z = 1.96 \) (z-score for a 95% confidence level) - \( \sigma = 0.45 \) (standard deviation) - \( n = 1000 \) (sample size) Once the ME is calculated, the confidence interval can be determined using: \[ \text{Confidence Interval} = \text{mean} \pm ME \] Substitute the values into the formulas above to find the margin of error and the confidence interval for the study results.
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