A random survey was conducted to gather opinions on proposed health care reforms. A look at the raw data showed these results:

Agree Disagree No opinion Disagree Agree No opinion No opinion Disagree
Disagree Disagree Agree Disagree Disagree Disagree Agree No opinion
Agree No opinion Agree Disagree Agree No opinion No opinion Agree
Disagree Agree Disagree No opinion No opinion Agree Disagree No opinion
Disagree No opinion No opinion Agree Disagree No opinion Disagree Disagree
No opinion Agree Disagree No opinion No opinion Agree Disagree Agree
Agree No opinion Agree Disagree Agree Disagree No opinion No opinion
No opinion No opinion No opinion Disagree No opinion Disagree No opinion Agree

Part 1:
Construct a bar graph that represents this data. You may use Excel or a similar program, or draw the graph by hand and scan it.

Part 2:
Construct a pie chart that represents this data. You may use Excel or a similar program, or draw the graph by hand and scan it.

Part 3: Answer the following questions.
What does this survey reveal about this particular group's feelings about health care reform?
Which graph best represents those findings? Why?

User Icon for Bot GPT 4-o mini Bot GPT 4-o mini answered
2 months ago

To analyze the survey data, let’s first summarize the information provided. We will count the occurrences of each opinion: "Agree," "Disagree," and "No opinion."

### Part 1: Data Analysis
From your data, let’s tally the responses:

- **Agree:** 12 responses
- **Disagree:** 14 responses
- **No opinion:** 12 responses

### Step 1: Constructing the Bar Graph
- You can create a bar graph using Excel as follows:
1. Open Excel and input the data in two columns: one for the response categories and another for their counts.
2. Select the data, go to the "Insert" tab, and select "Bar Chart" from the Chart options.
3. Label the axes (x-axis for "Responses" and y-axis for "Count").

**Example of Bar Graph Layout in Excel:**
- Responses: Agree (12), Disagree (14), No opinion (12)
- The x-axis will list the responses, and the y-axis will indicate the number of responses.

### Part 2: Constructing the Pie Chart
- You can follow similar steps in Excel to create a pie chart:
1. Select the data set you just created.
2. Go to the "Insert" tab and choose "Pie Chart" from the Chart options.
3. Each slice will represent the percentage of each opinion based on the total number of responses.

### Example of Pie Chart Data Calculation:
Total responses = 12 + 14 + 12 = 38
- Percentage for Agree: (12/38) * 100 = 31.58%
- Percentage for Disagree: (14/38) * 100 = 36.84%
- Percentage for No opinion: (12/38) * 100 = 31.58%

### Part 3: Survey Insights and Graph Comparison
**What does this survey reveal about this particular group's feelings about health care reform?**
The survey results indicate a mixed sentiment among the participants. While 36.84% of respondents disagree with the proposed health care reform, an equal portion (31.58%) neither agrees nor disagrees, and 31.58% show agreement. This suggests that there is significant uncertainty regarding the proposed reforms, with a notable proportion of respondents feeling opposed.

**Which graph best represents those findings? Why?**
The **bar graph** is likely to be more effective than the pie chart in this context. A bar graph provides a clearer comparison of the different opinion categories, allowing viewers to easily compare the number of respondents in each category. It can visually illustrate the slight tendency towards disagreement while showcasing the equal prevalence of agree and no opinion responses.

In contrast, while a pie chart shows the proportions beautifully, it may obscure the close nature of agreement and no opinion relative to disagreement. Given the nuances in the data, a bar graph is more informative for this analysis.

### Conclusion
You can create both charts using the data provided to visualize the responses. The bar graph is typically clearer for comparing quantities, whereas the pie chart effectively shows proportions. Each has its own advantages depending on the aspect of the data you wish to emphasize.