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 =

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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.
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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