A hypertension trial is mounted, and 12 participants are randomly assigned to receive either a new med- ication or a placebo. Each participant takes the as- signed medication and their systolic blood pressure

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### Hypertension Trial Study Guide

A hypertension trial is being conducted with 12 participants who are randomly assigned to receive either a new medication or a placebo. Each participant takes the assigned medication, and their systolic blood pressure (SBP) is recorded after 6 months on the assigned medication. The data from this trial are presented in Table 7-9 (not provided here). 

The primary research question is whether there is a significant difference in mean SBP between the treatment (new medication) and control (placebo) groups. To determine this, an appropriate statistical test must be run at a significance level of α = 0.05. 

Follow the steps below to analyze the data:

1. **Data Collection**: Gather the SBP data for each participant after 6 months on the assigned treatment.
2. **Data Organization**: Organize the data into two groups: one for participants who received the new medication and one for those who received the placebo.
3. **Statistical Test**: Choose and run the appropriate statistical test to compare the means of the two groups. Common tests for this purpose include the independent t-test or ANOVA.
4. **Interpret Results**: Determine if the p-value from the statistical test is less than the significance level (α = 0.05). If it is, there is a significant difference in SBP between the two groups.
5. **Conclusion**: Draw a conclusion based on the statistical analysis. If there is a significant difference, it may suggest that the new medication is effective in altering SBP compared to the placebo.

### Explanation of Tables or Graphs
In this context, Table 7-9 (not displayed here) is expected to contain the SBP measurements for all 12 participants, divided into two groups — those receiving the new medication and those receiving the placebo. It might include columns for participant ID, group assignment, and SBP value after 6 months.

### Additional Notes
- Ensure the sample size is adequate to generalize the findings.
- Consider potential confounding variables that might affect SBP and control for them.

For more precise guidance, refer to the detailed procedure in the appropriate statistical analysis textbooks or resources.
Transcribed Image Text:### Hypertension Trial Study Guide A hypertension trial is being conducted with 12 participants who are randomly assigned to receive either a new medication or a placebo. Each participant takes the assigned medication, and their systolic blood pressure (SBP) is recorded after 6 months on the assigned medication. The data from this trial are presented in Table 7-9 (not provided here). The primary research question is whether there is a significant difference in mean SBP between the treatment (new medication) and control (placebo) groups. To determine this, an appropriate statistical test must be run at a significance level of α = 0.05. Follow the steps below to analyze the data: 1. **Data Collection**: Gather the SBP data for each participant after 6 months on the assigned treatment. 2. **Data Organization**: Organize the data into two groups: one for participants who received the new medication and one for those who received the placebo. 3. **Statistical Test**: Choose and run the appropriate statistical test to compare the means of the two groups. Common tests for this purpose include the independent t-test or ANOVA. 4. **Interpret Results**: Determine if the p-value from the statistical test is less than the significance level (α = 0.05). If it is, there is a significant difference in SBP between the two groups. 5. **Conclusion**: Draw a conclusion based on the statistical analysis. If there is a significant difference, it may suggest that the new medication is effective in altering SBP compared to the placebo. ### Explanation of Tables or Graphs In this context, Table 7-9 (not displayed here) is expected to contain the SBP measurements for all 12 participants, divided into two groups — those receiving the new medication and those receiving the placebo. It might include columns for participant ID, group assignment, and SBP value after 6 months. ### Additional Notes - Ensure the sample size is adequate to generalize the findings. - Consider potential confounding variables that might affect SBP and control for them. For more precise guidance, refer to the detailed procedure in the appropriate statistical analysis textbooks or resources.
### Table 7-9: Data for Practice Problem 6

#### Description:
This table provides data for Practice Problem 6, comparing the effects of a placebo and a new medication. 

#### Data:
- **Placebo:** 134, 143, 148, 142, 150, 160
- **New Medication:** 114, 117, 121, 124, 122, 128

#### Columns:
- **Placebo:** This column lists numerical values representing the results obtained when subjects were administered a placebo.
- **New Medication:** This column lists numerical values representing the results obtained when subjects were administered the new medication.

#### Interpretation:
- Each row compares the result from the placebo group to the corresponding result from the new medication group.
- The data set can be used to analyze and compare the effectiveness of the new medication relative to the placebo.

This table is useful for statistical analysis, hypothesis testing, or other comparative studies in educational contexts, particularly in subjects such as medicine, pharmacology, or biostatistics.
Transcribed Image Text:### Table 7-9: Data for Practice Problem 6 #### Description: This table provides data for Practice Problem 6, comparing the effects of a placebo and a new medication. #### Data: - **Placebo:** 134, 143, 148, 142, 150, 160 - **New Medication:** 114, 117, 121, 124, 122, 128 #### Columns: - **Placebo:** This column lists numerical values representing the results obtained when subjects were administered a placebo. - **New Medication:** This column lists numerical values representing the results obtained when subjects were administered the new medication. #### Interpretation: - Each row compares the result from the placebo group to the corresponding result from the new medication group. - The data set can be used to analyze and compare the effectiveness of the new medication relative to the placebo. This table is useful for statistical analysis, hypothesis testing, or other comparative studies in educational contexts, particularly in subjects such as medicine, pharmacology, or biostatistics.
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