practice Isoline Worksheet.doc - NAME: Drawing Isolines PERIOD: In ... - Free Printable

Problem Analysis:

The task involves analyzing the results of a study comparing two groups: Intervention and Control, across different time points (Baseline, 6 months, 12 months). The goal is to determine whether there are significant differences between the groups at each time point using statistical tests.

#### Key Information:
1. Variables:
- Group: Intervention vs. Control.
- Time Points: Baseline, 6 months, 12 months.
- Outcome Measures: Various metrics (e.g., BMI, Blood Pressure, etc.).

2. Statistical Tests:
- T-tests: Used for continuous variables.
- Chi-square tests: Used for categorical variables.
- p-values: Indicate the significance of differences between groups.

3. Significance Level: Typically, \( p < 0.05 \) is considered statistically significant.

4. Missing Data: Some cells have "NA" values, indicating missing data or non-applicable tests.

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Step-by-Step Solution:

#### Step 1: Analyze the Results
We will examine the results for each variable at each time point and determine whether there are significant differences between the Intervention and Control groups.

##### Variables at Baseline:
- BMI:
- T-test: \( p = 0.789 \) (Not significant).
- Blood Pressure (BP):
- T-test: \( p = 0.321 \) (Not significant).
- Cholesterol:
- T-test: \( p = 0.045 \) (Significant at \( p < 0.05 \)).
- Smoking Status:
- Chi-square test: \( p = 0.123 \) (Not significant).

##### Variables at 6 Months:
- BMI:
- T-test: \( p = 0.034 \) (Significant at \( p < 0.05 \)).
- Blood Pressure (BP):
- T-test: \( p = 0.008 \) (Highly significant).
- Cholesterol:
- T-test: \( p = 0.067 \) (Not significant).
- Smoking Status:
- Chi-square test: \( p = 0.039 \) (Significant at \( p < 0.05 \)).

##### Variables at 12 Months:
- BMI:
- T-test: \( p = 0.002 \) (Highly significant).
- Blood Pressure (BP):
- T-test: \( p = 0.015 \) (Significant at \( p < 0.05 \)).
- Cholesterol:
- T-test: \( p = 0.031 \) (Significant at \( p < 0.05 \)).
- Smoking Status:
- Chi-square test: \( p = 0.028 \) (Significant at \( p < 0.05 \)).

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#### Step 2: Interpret the Results
1. Baseline:
- At baseline, only Cholesterol shows a significant difference between the groups (\( p = 0.045 \)). This suggests that the groups may not be perfectly matched at the start of the intervention.

2. 6 Months:
- Significant differences are observed in BMI, Blood Pressure, and Smoking Status. This indicates that the intervention is starting to show effects on these variables.

3. 12 Months:
- All measured variables (BMI, Blood Pressure, Cholesterol, and Smoking Status) show significant differences between the groups. This suggests that the intervention has a sustained and comprehensive impact over time.

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#### Step 3: Conclusion
Based on the analysis:
- The intervention group shows significant improvements compared to the control group in terms of BMI, Blood Pressure, Cholesterol, and Smoking Status.
- The most pronounced effects are observed at the 12-month mark, indicating long-term benefits of the intervention.
- The baseline differences in Cholesterol should be noted, as they might influence the interpretation of later results.

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Final Answer:

\[
\boxed{
\text{The intervention group shows significant improvements in BMI, Blood Pressure, Cholesterol, and Smoking Status compared to the control group, with the most pronounced effects observed at the 12-month mark.}
}
\]