(b) Based on your answer to part (a), choose the correct statement. The value of the test statistic lies in the rejection region. O The value of the test statistic doesn't lie in the rejection region. S

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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Chapter11: Data Analysis And Probability
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**Hypothesis Testing with Significance Level 0.10**

**Step 3: Enter the Test Statistic**  
- Calculation: Round to 3 decimal places.  
- Test Statistic Value: 2.041

**Visual Demonstration**  
The image includes two bell curves on either side of the test statistic:

1. **Left Bell Curve:**
   - The area under the curve to the left of \( z_{\alpha/2} = -1.645 \) is shaded, indicating the rejection region on the negative side.

2. **Right Bell Curve:**
   - The area under the curve to the right of \( z = 2.041 \) is shaded, marking the rejection region on the positive side.
   - The critical value is \( z_{\alpha/2} = 1.645 \).

**Decision Making**

**(b) Analyzing the Test Statistic:**
- Determine if the test statistic falls within the rejection region.
  - Options:
    - The value of the test statistic lies in the rejection region.
    - The value of the test statistic doesn't lie in the rejection region.
  - Response Options: Checkboxes next to each statement allow selection.

**(c) Conclusion at 0.10 Level of Significance:**
- Decide on the null hypothesis based on previous analysis.
  - Options:
    - The null hypothesis should be rejected.
    - The null hypothesis should not be rejected.
  - Response Options: Checkboxes next to each statement allow selection.

**Interactive Elements**
- Buttons for "Explanation" and "Check" findings.

This layout and questioning guide students through the concepts of hypothesis testing, focusing on critical thinking and accurate decision-making based on statistical evidence in a two-tailed test.
Transcribed Image Text:**Hypothesis Testing with Significance Level 0.10** **Step 3: Enter the Test Statistic** - Calculation: Round to 3 decimal places. - Test Statistic Value: 2.041 **Visual Demonstration** The image includes two bell curves on either side of the test statistic: 1. **Left Bell Curve:** - The area under the curve to the left of \( z_{\alpha/2} = -1.645 \) is shaded, indicating the rejection region on the negative side. 2. **Right Bell Curve:** - The area under the curve to the right of \( z = 2.041 \) is shaded, marking the rejection region on the positive side. - The critical value is \( z_{\alpha/2} = 1.645 \). **Decision Making** **(b) Analyzing the Test Statistic:** - Determine if the test statistic falls within the rejection region. - Options: - The value of the test statistic lies in the rejection region. - The value of the test statistic doesn't lie in the rejection region. - Response Options: Checkboxes next to each statement allow selection. **(c) Conclusion at 0.10 Level of Significance:** - Decide on the null hypothesis based on previous analysis. - Options: - The null hypothesis should be rejected. - The null hypothesis should not be rejected. - Response Options: Checkboxes next to each statement allow selection. **Interactive Elements** - Buttons for "Explanation" and "Check" findings. This layout and questioning guide students through the concepts of hypothesis testing, focusing on critical thinking and accurate decision-making based on statistical evidence in a two-tailed test.
Suppose there is a claim that a certain population has a mean, μ, that is different than 9. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis \( H_0 \) and the alternative hypothesis \( H_1 \) as follows:

\[ H_0: \mu = 9 \]
\[ H_1: \mu \neq 9 \]

Suppose you also know the following information:

The critical values are -1.645 and 1.645 (rounded to 3 decimal places).
The value of the test statistic is 2.041 (rounded to 3 decimal places).

(a) Complete the steps below to show the rejection region(s) and the value of the test statistic for this test.

**Standard Normal Distribution**

- **Step 1:** Select one-tailed or two-tailed.
  - One-tailed
  - Two-tailed (selected)
  
- **Step 2:** Enter the critical value(s). (Round to 3 decimal places.)
  - -1.645, 1.645

- **Step 3:** Enter the test statistic. (Round to 3 decimal places.)
  - 2.041

**Graph Explanation:**

The graph represents a standard normal distribution. It is a bell-shaped curve centered around a mean of 0. The x-axis represents the z-scores, while the y-axis represents the probability density. Critical values of -1.645 and 1.645 are marked on the x-axis, creating two rejection regions in the tails of the distribution. The test statistic of 2.041 is plotted on the x-axis, falling into the rejection region on the right side.
Transcribed Image Text:Suppose there is a claim that a certain population has a mean, μ, that is different than 9. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis \( H_0 \) and the alternative hypothesis \( H_1 \) as follows: \[ H_0: \mu = 9 \] \[ H_1: \mu \neq 9 \] Suppose you also know the following information: The critical values are -1.645 and 1.645 (rounded to 3 decimal places). The value of the test statistic is 2.041 (rounded to 3 decimal places). (a) Complete the steps below to show the rejection region(s) and the value of the test statistic for this test. **Standard Normal Distribution** - **Step 1:** Select one-tailed or two-tailed. - One-tailed - Two-tailed (selected) - **Step 2:** Enter the critical value(s). (Round to 3 decimal places.) - -1.645, 1.645 - **Step 3:** Enter the test statistic. (Round to 3 decimal places.) - 2.041 **Graph Explanation:** The graph represents a standard normal distribution. It is a bell-shaped curve centered around a mean of 0. The x-axis represents the z-scores, while the y-axis represents the probability density. Critical values of -1.645 and 1.645 are marked on the x-axis, creating two rejection regions in the tails of the distribution. The test statistic of 2.041 is plotted on the x-axis, falling into the rejection region on the right side.
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