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
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
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F02ea3ac7-5fea-4059-9e9c-bdba4fa24b5b%2Fa0d7f4eb-88f2-4013-a02b-613930d3a2f4%2F1tdwag8.png&w=3840&q=75)
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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