Hypotheses and summary sample statistics are given for a test for a mean. Assume that the conditions are met and the underlyir distribution is approximately normal. Test Ho : µ = 100 vs Hạ : µ>100 when the sample has I = 108 with s = 35.6 and n = 20. Find the value of the t-test statistic and then use the t-distribution to find the p-value. Round your answers to three decimal places. test statistic = p-value =
Hypotheses and summary sample statistics are given for a test for a mean. Assume that the conditions are met and the underlyir distribution is approximately normal. Test Ho : µ = 100 vs Hạ : µ>100 when the sample has I = 108 with s = 35.6 and n = 20. Find the value of the t-test statistic and then use the t-distribution to find the p-value. Round your answers to three decimal places. test statistic = p-value =
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![## T-Test for a Mean: Hypotheses, Calculation, and Interpretation
### Hypotheses and Summary Sample Statistics:
In this section, we are given the hypotheses and summary sample statistics for conducting a t-test for the mean. We assume that the conditions for the t-test are met and that the underlying distribution is approximately normal.
The hypotheses are as follows:
- Null Hypothesis (\(H_0\)): \(\mu = 100\)
- Alternative Hypothesis (\(H_a\)): \(\mu > 100\)
Given the sample statistics:
- Sample mean (\(\bar{x}\)) = 108
- Sample standard deviation (\(s\)) = 35.6
- Sample size (\(n\)) = 20
### Steps to Find the Test Statistic and p-value:
1. **Calculate the t-test statistic**:
The formula to calculate the t-test statistic is:
\[
\text{test statistic} = t = \frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}}
\]
2. **Calculate the p-value using the t-distribution**:
Once the test statistic is calculated, the p-value can be found using the t-distribution table or computational tools to compare the test statistic with the distribution.
### Task:
- **Find the value of the t-test statistic and then use the t-distribution to find the p-value.**
- **Round your answers to three decimal places.**
### Calculation Setup:
- **Test statistic**: \( t = \frac{108 - 100}{\frac{35.6}{\sqrt{20}}} \)
- **p-value**: To be determined based on the t-distribution
Please complete the calculations and round your answers to three decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F84604627-3ce4-4e00-bb54-5e7907c5744a%2F636b137d-ddfc-40bc-a5fd-aea55999c14d%2Fngv6pzc_processed.png&w=3840&q=75)
Transcribed Image Text:## T-Test for a Mean: Hypotheses, Calculation, and Interpretation
### Hypotheses and Summary Sample Statistics:
In this section, we are given the hypotheses and summary sample statistics for conducting a t-test for the mean. We assume that the conditions for the t-test are met and that the underlying distribution is approximately normal.
The hypotheses are as follows:
- Null Hypothesis (\(H_0\)): \(\mu = 100\)
- Alternative Hypothesis (\(H_a\)): \(\mu > 100\)
Given the sample statistics:
- Sample mean (\(\bar{x}\)) = 108
- Sample standard deviation (\(s\)) = 35.6
- Sample size (\(n\)) = 20
### Steps to Find the Test Statistic and p-value:
1. **Calculate the t-test statistic**:
The formula to calculate the t-test statistic is:
\[
\text{test statistic} = t = \frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}}
\]
2. **Calculate the p-value using the t-distribution**:
Once the test statistic is calculated, the p-value can be found using the t-distribution table or computational tools to compare the test statistic with the distribution.
### Task:
- **Find the value of the t-test statistic and then use the t-distribution to find the p-value.**
- **Round your answers to three decimal places.**
### Calculation Setup:
- **Test statistic**: \( t = \frac{108 - 100}{\frac{35.6}{\sqrt{20}}} \)
- **p-value**: To be determined based on the t-distribution
Please complete the calculations and round your answers to three decimal places.
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