A random sample of 55 cups of coffee from a vending machine had a sample mean volume of coffee dispensed equal to 7.5 oz with a standard deviation of 0.3 oz. Find a 95 percent confidence interval for the mean amount of coffee dispensed per cup. x-bar std dev n Confidence Level Margin of Error Point Estimate Round off to 2 decimal places Round off to 2 decimal places Lower Limit Upper Limit Interpret the confidence interval in context of the problem

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**Title: Confidence Interval Calculation for Mean Amount of Coffee Dispensed by Vending Machine**

**Description:**

A random sample of 55 cups of coffee from a vending machine had a sample mean volume of coffee dispensed equal to 7.5 oz with a standard deviation of 0.3 oz. Find a 95 percent confidence interval for the mean amount of coffee dispensed per cup.

---
**Data Table:**

| Statistic | Value |
|-----------|-------|
| x-bar | 7.5 oz |
| std dev | 0.3 oz |
| n | 55 |
| Confidence Level | 95% |
| Margin of Error | |
| Point Estimate | |
| Lower Limit | Round off to 2 decimal places |
| Upper Limit | Round off to 2 decimal places |

---
**Steps for Calculation:**

1. **Point Estimate (Mean):**
    - The point estimate (\( \bar{x} \)) is the sample mean, which is 7.5 oz.

2. **Standard Deviation:**
    - The standard deviation (\( \sigma \)) is 0.3 oz.

3. **Sample Size:**
    - The sample size (\( n \)) is 55.

4. **Confidence Level:**
    - The confidence level is given as 95%.

5. **Margin of Error (E):**
    - Calculate the Margin of Error using the formula:
      \[
      E = Z \times \left( \frac{\sigma}{\sqrt{n}} \right)
      \]
      Where \( Z \) is the Z-value corresponding to the 95% confidence level (Z = 1.96 for 95%).

6. **Confidence Interval:**
    - The confidence interval is calculated as:
      \[
      \text{Lower Limit} = \bar{x} - E
      \]
      \[
      \text{Upper Limit} = \bar{x} + E
      \]

7. **Rounding Off:**
    - Both the lower limit and upper limit should be rounded off to 2 decimal places.

---
**Interpret the Confidence Interval in Context of the Problem:**

Interpret the calculated confidence interval in the context of the problem, which is to determine the mean amount of coffee dispensed per cup by the vending machine with a 95% confidence level.

---
**Note:**

This educational content is designed to provide a clear example
Transcribed Image Text:**Title: Confidence Interval Calculation for Mean Amount of Coffee Dispensed by Vending Machine** **Description:** A random sample of 55 cups of coffee from a vending machine had a sample mean volume of coffee dispensed equal to 7.5 oz with a standard deviation of 0.3 oz. Find a 95 percent confidence interval for the mean amount of coffee dispensed per cup. --- **Data Table:** | Statistic | Value | |-----------|-------| | x-bar | 7.5 oz | | std dev | 0.3 oz | | n | 55 | | Confidence Level | 95% | | Margin of Error | | | Point Estimate | | | Lower Limit | Round off to 2 decimal places | | Upper Limit | Round off to 2 decimal places | --- **Steps for Calculation:** 1. **Point Estimate (Mean):** - The point estimate (\( \bar{x} \)) is the sample mean, which is 7.5 oz. 2. **Standard Deviation:** - The standard deviation (\( \sigma \)) is 0.3 oz. 3. **Sample Size:** - The sample size (\( n \)) is 55. 4. **Confidence Level:** - The confidence level is given as 95%. 5. **Margin of Error (E):** - Calculate the Margin of Error using the formula: \[ E = Z \times \left( \frac{\sigma}{\sqrt{n}} \right) \] Where \( Z \) is the Z-value corresponding to the 95% confidence level (Z = 1.96 for 95%). 6. **Confidence Interval:** - The confidence interval is calculated as: \[ \text{Lower Limit} = \bar{x} - E \] \[ \text{Upper Limit} = \bar{x} + E \] 7. **Rounding Off:** - Both the lower limit and upper limit should be rounded off to 2 decimal places. --- **Interpret the Confidence Interval in Context of the Problem:** Interpret the calculated confidence interval in the context of the problem, which is to determine the mean amount of coffee dispensed per cup by the vending machine with a 95% confidence level. --- **Note:** This educational content is designed to provide a clear example
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