19) Do a hypothesis for the following, make sure to include and label all five steps: Test the claim that Treatment is independent of your reaction. Use a .05 significance level. Drug Placebo Headaches 18 20 No Headaches 82 70

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### Hypothesis Testing: Treatment Independence

#### Problem Statement

**Question:**
Do a hypothesis for the following. Make sure to include and label all five steps. Test the claim that treatment is independent of your reaction. Use a 0.05 significance level.

#### Data Table

The table below provides the frequency of headaches and no headaches among two groups: one receiving a drug and the other receiving a placebo.

| Reaction      | Drug | Placebo |
|---------------|------|---------|
| Headaches     | 18   | 20      |
| No Headaches  | 82   | 70      |

#### Explanation of the Data Table

- **Headaches (Drug)**: Number of people who developed headaches after receiving the drug (18 individuals).
- **Headaches (Placebo)**: Number of people who developed headaches after receiving the placebo (20 individuals).
- **No Headaches (Drug)**: Number of people who did not develop headaches after receiving the drug (82 individuals).
- **No Headaches (Placebo)**: Number of people who did not develop headaches after receiving the placebo (70 individuals).

#### Hypothesis Testing Steps

1. **State the Hypotheses:**
   - Null Hypothesis (\(H_0\)): Treatment (Drug or Placebo) is independent of the occurrence of headaches.
   - Alternative Hypothesis (\(H_1\)): Treatment (Drug or Placebo) is not independent of the occurrence of headaches.

2. **Significance Level (\(\alpha\)):**
   - The significance level is set at 0.05.

3. **Test Statistic:**
   - Calculate the chi-square test statistic for the given data.

4. **Decision Rule:**
   - Determine the critical value from the chi-square distribution table with the appropriate degrees of freedom (df). 
   - Degrees of freedom (df) can be calculated as:
     \[
     df = (r-1) \cdot (c-1)
     \]
     where \(r\) is the number of rows and \(c\) is the number of columns. For this table, \(df = (2-1) \cdot (2-1) = 1\).

5. **Conclusion:**
   - Compare the calculated chi-square test statistic to the critical value. 
   - Reject \(H_0\) if the test statistic is greater than the critical value; otherwise, do
Transcribed Image Text:### Hypothesis Testing: Treatment Independence #### Problem Statement **Question:** Do a hypothesis for the following. Make sure to include and label all five steps. Test the claim that treatment is independent of your reaction. Use a 0.05 significance level. #### Data Table The table below provides the frequency of headaches and no headaches among two groups: one receiving a drug and the other receiving a placebo. | Reaction | Drug | Placebo | |---------------|------|---------| | Headaches | 18 | 20 | | No Headaches | 82 | 70 | #### Explanation of the Data Table - **Headaches (Drug)**: Number of people who developed headaches after receiving the drug (18 individuals). - **Headaches (Placebo)**: Number of people who developed headaches after receiving the placebo (20 individuals). - **No Headaches (Drug)**: Number of people who did not develop headaches after receiving the drug (82 individuals). - **No Headaches (Placebo)**: Number of people who did not develop headaches after receiving the placebo (70 individuals). #### Hypothesis Testing Steps 1. **State the Hypotheses:** - Null Hypothesis (\(H_0\)): Treatment (Drug or Placebo) is independent of the occurrence of headaches. - Alternative Hypothesis (\(H_1\)): Treatment (Drug or Placebo) is not independent of the occurrence of headaches. 2. **Significance Level (\(\alpha\)):** - The significance level is set at 0.05. 3. **Test Statistic:** - Calculate the chi-square test statistic for the given data. 4. **Decision Rule:** - Determine the critical value from the chi-square distribution table with the appropriate degrees of freedom (df). - Degrees of freedom (df) can be calculated as: \[ df = (r-1) \cdot (c-1) \] where \(r\) is the number of rows and \(c\) is the number of columns. For this table, \(df = (2-1) \cdot (2-1) = 1\). 5. **Conclusion:** - Compare the calculated chi-square test statistic to the critical value. - Reject \(H_0\) if the test statistic is greater than the critical value; otherwise, do
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