An independent random sample is selected from an approximately normal population with an unknown standard deviation. Find the p-value if n = 5 and T = -0.96. Assume you are doing a two-tailed test. p-value: What decision do we make with the null hypothesis at a = 0.05? p-value: O Reject H O Fail to reject H

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how do i find the p-value?
### Hypothesis Testing Example

**Problem Statement:**

An independent random sample is selected from an approximately normal population with an unknown standard deviation. Find the p-value if \( n = 5 \) and \( T = -0.96 \). Assume you are doing a two-tailed test.

**Step 1: Determine the p-value**

p-value: [__________]

**Step 2: Decision Making Based on the Null Hypothesis**

What decision do we make with the null hypothesis at \( \alpha = 0.05 \)?

**Choices:**

- [ ] Reject \( H_0 \)
- [ ] Fail to reject \( H_0 \)

**Explanation of Terms:**

- **n:** The sample size, which is 5.
- **T:** The test statistic, which is -0.96.
- **p-value:** A measure of the evidence against the null hypothesis. The smaller the p-value, the stronger the evidence to reject the null hypothesis.
- **\(\alpha = 0.05\):** The significance level, which represents the probability of rejecting the null hypothesis when it is actually true.

**Decision Rule:**

- If the p-value is less than \(\alpha\), we reject the null hypothesis (\( H_0 \)).
- If the p-value is greater than or equal to \(\alpha\), we fail to reject the null hypothesis (\( H_0 \)).

This exercise helps in understanding how to conduct a hypothesis test for a sample from an approximately normal population with an unknown standard deviation, using a t-distribution.

**Note:** There are no graphs or diagrams provided in this image that need detailed explanation.
Transcribed Image Text:### Hypothesis Testing Example **Problem Statement:** An independent random sample is selected from an approximately normal population with an unknown standard deviation. Find the p-value if \( n = 5 \) and \( T = -0.96 \). Assume you are doing a two-tailed test. **Step 1: Determine the p-value** p-value: [__________] **Step 2: Decision Making Based on the Null Hypothesis** What decision do we make with the null hypothesis at \( \alpha = 0.05 \)? **Choices:** - [ ] Reject \( H_0 \) - [ ] Fail to reject \( H_0 \) **Explanation of Terms:** - **n:** The sample size, which is 5. - **T:** The test statistic, which is -0.96. - **p-value:** A measure of the evidence against the null hypothesis. The smaller the p-value, the stronger the evidence to reject the null hypothesis. - **\(\alpha = 0.05\):** The significance level, which represents the probability of rejecting the null hypothesis when it is actually true. **Decision Rule:** - If the p-value is less than \(\alpha\), we reject the null hypothesis (\( H_0 \)). - If the p-value is greater than or equal to \(\alpha\), we fail to reject the null hypothesis (\( H_0 \)). This exercise helps in understanding how to conduct a hypothesis test for a sample from an approximately normal population with an unknown standard deviation, using a t-distribution. **Note:** There are no graphs or diagrams provided in this image that need detailed explanation.
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