Back in your groups, you’ll take out your compiled survey results and start working together to summarize and analyze the information you’ve gathered.
As a team, you’ll organize the answers into three main categories:
Budgeting
Transportation
Healthcare
You’ll look at how many respondents answered "Always," "Sometimes," or "Never" for each question, and begin calculating the percentage, base, and rate based on your data.
This step will help you clearly see the needs and concerns of the elderly in your community, while practicing how to turn real-life responses into meaningful numbers.
Guide Questions:
How do you calculate the percentage of senior citizens facing financial struggles?
How can you double-check your computations for accuracy?
Why is it important to correctly interpret the mathematical values in your survey results?
Now that you’ve organized your survey results, your group will begin creating summary tables to clearly show the findings from your survey. This step is important for making your data easy to understand and for helping you draw conclusions based on what senior citizens shared with you.
Guide Questions:
How many people answered this question in total?
How many answered “Always”? “Sometimes”? “Never”?
What are the percentages for each type of answer?
Is the table clear and easy to read?
You will now return to your group’s summary table from the previous activity, where you tallied the responses from senior citizens under the three main categories: Budgeting, Transportation, and Healthcare.
Start by reviewing your group’s tallied answers. Look closely at each survey question and identify which responses were the most and least common. Label them clearly as “Always,” “Sometimes,” or “Never” based on the number of respondents.
Once your group has reviewed and labeled the data, it’s time to create a bar graph to visually present your findings. To make sure everyone’s graphs follow the same format, see guidelines.
Guide Questions:
Did we include all three categories: Budgeting, Transportation, and Healthcare?
Are there three bars shown for each category (one each for Always, Sometimes, Never)?
Are our bars labeled properly so that someone reading the graph can understand them?
Are our bars tall enough or short enough to show the correct number of responses?
After data collection, students summarize the responses using organized tables. This checklist helps assess the accuracy and structure of the data presented, as well as the students’ ability to categorize information meaningfully. It ensures students can recognize patterns and prepare for data visualization, an important step toward developing analytical and critical thinking skills.
This rubric evaluates how effectively students turn their summarized data into visual representations like bar graphs or pie charts. It measures the clarity, accuracy, and informativeness of their graphs. Through peer and self-assessment, students learn to critique both form and content, building awareness of how data visuals aid in communication, advocacy, and decision-making.
Self and peer assessment are vital tools for promoting reflective learning and collaboration among students. Through self-assessment, students evaluate their own work, identifying strengths and areas for improvement. This process fosters critical thinking and self-awareness, as they take ownership of their learning journey. By reflecting on their progress, they develop a growth mindset and the ability to set realistic goals for personal improvement.
Peer assessment, on the other hand, encourages students to provide constructive feedback to one another. This interaction enhances communication skills, builds a sense of responsibility, and nurtures mutual respect. It also allows students to gain diverse perspectives, improving their ability to evaluate work objectively. Together, self and peer assessment not only promote academic growth but also cultivate interpersonal skills and a collaborative mindset.