1. A local sandwich shop claims to put 6 ounces of meat on each sandwich the You take a random sample of 19 sandwiches, and find that the average amount of meat is 5.6 ounces, with a sample standard deviation of 1.3 ounces. Can we say that the amount of meat on the sandwiches is significantly lower than the shop's claim? (Use a = .10) %3D Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision:
1. A local sandwich shop claims to put 6 ounces of meat on each sandwich the You take a random sample of 19 sandwiches, and find that the average amount of meat is 5.6 ounces, with a sample standard deviation of 1.3 ounces. Can we say that the amount of meat on the sandwiches is significantly lower than the shop's claim? (Use a = .10) %3D Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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![### Statistical Hypothesis Testing Example
#### Problem Statement
A local sandwich shop claims to put 6 ounces of meat on each sandwich they make. You take a random sample of 19 sandwiches and find that the average amount of meat is 5.6 ounces, with a sample standard deviation of 1.3 ounces. Can we say that the amount of meat on the sandwiches is significantly lower than the shop's claim? (Use α = .10)
#### Required Information:
- **Type of Test:**
- **Null Hypothesis (H₀):**
- **Alternate Hypothesis (H₁):**
- **Standard Error (SE):**
- **Test Statistic:**
- **P-value:**
- **Decision:**
- **Conclusion Sentence:**
### Explanation
To determine whether the sandwich shop's claim is valid or the amount of meat is significantly lower, we will conduct a hypothesis test. Here is the step-by-step process:
1. **Type of Test:**
We will use a one-sample t-test because the sample size is small (n < 30), and we do not know the population standard deviation.
2. **Null Hypothesis (H₀):**
The null hypothesis states that the true mean amount of meat is 6 ounces.
\[ H₀: \mu = 6 \]
3. **Alternate Hypothesis (H₁):**
The alternate hypothesis states that the true mean amount of meat is less than 6 ounces.
\[ H₁: \mu < 6 \]
4. **Standard Error (SE):**
The standard error of the mean can be calculated using the formula:
\[ SE = \frac{s}{\sqrt{n}} \]
where \( s \) is the sample standard deviation and \( n \) is the sample size.
\[ SE = \frac{1.3}{\sqrt{19}} \]
5. **Test Statistic:**
The test statistic for a one-sample t-test is calculated as:
\[ t = \frac{\bar{x} - \mu}{SE} \]
where \( \bar{x} \) is the sample mean.
\[ t = \frac{5.6 - 6}{SE} \]
6. **P-value:**
Using the t-distribution table (or a statistical software), we compare the calculated t](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F17525826-644e-4b54-80a2-4cc5c7d853ae%2F877f9d2e-acf2-489a-8cdd-a15c3e22642c%2Fw00hno_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Statistical Hypothesis Testing Example
#### Problem Statement
A local sandwich shop claims to put 6 ounces of meat on each sandwich they make. You take a random sample of 19 sandwiches and find that the average amount of meat is 5.6 ounces, with a sample standard deviation of 1.3 ounces. Can we say that the amount of meat on the sandwiches is significantly lower than the shop's claim? (Use α = .10)
#### Required Information:
- **Type of Test:**
- **Null Hypothesis (H₀):**
- **Alternate Hypothesis (H₁):**
- **Standard Error (SE):**
- **Test Statistic:**
- **P-value:**
- **Decision:**
- **Conclusion Sentence:**
### Explanation
To determine whether the sandwich shop's claim is valid or the amount of meat is significantly lower, we will conduct a hypothesis test. Here is the step-by-step process:
1. **Type of Test:**
We will use a one-sample t-test because the sample size is small (n < 30), and we do not know the population standard deviation.
2. **Null Hypothesis (H₀):**
The null hypothesis states that the true mean amount of meat is 6 ounces.
\[ H₀: \mu = 6 \]
3. **Alternate Hypothesis (H₁):**
The alternate hypothesis states that the true mean amount of meat is less than 6 ounces.
\[ H₁: \mu < 6 \]
4. **Standard Error (SE):**
The standard error of the mean can be calculated using the formula:
\[ SE = \frac{s}{\sqrt{n}} \]
where \( s \) is the sample standard deviation and \( n \) is the sample size.
\[ SE = \frac{1.3}{\sqrt{19}} \]
5. **Test Statistic:**
The test statistic for a one-sample t-test is calculated as:
\[ t = \frac{\bar{x} - \mu}{SE} \]
where \( \bar{x} \) is the sample mean.
\[ t = \frac{5.6 - 6}{SE} \]
6. **P-value:**
Using the t-distribution table (or a statistical software), we compare the calculated t
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