To create a pie chart, we first need to convert the frequency counts into percentages of the total responses.
Let's do it step-by-step:
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Sum the frequencies:
- Very likely: 626
- Fairly likely: 902
- Not too likely: 3745
- Not likely: 9212
Total frequency = 626 + 902 + 3745 + 9212 = 14085
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Calculate percentages for each response:
- Very likely: \( \frac{626}{14085} \times 100 \approx 4.44% \) (rounded to 4%)
- Fairly likely: \( \frac{902}{14085} \times 100 \approx 6.40% \) (rounded to 6%)
- Not too likely: \( \frac{3745}{14085} \times 100 \approx 26.57% \) (rounded to 27%)
- Not likely: \( \frac{9212}{14085} \times 100 \approx 65.58% \) (rounded to 66%)
-
Summarize the rounded percentages:
- Very likely: 4%
- Fairly likely: 6%
- Not too likely: 27%
- Not likely: 66%
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Final Frequencies and Percentages:
- Very likely: 4%
- Fairly likely: 6%
- Not too likely: 27%
- Not likely: 66%
You can use these percentages to create a pie chart with each segment representing the corresponding percent of job loss perception. Each section of your pie chart would be divided as follows:
- 4% for "Very likely"
- 6% for "Fairly likely"
- 27% for "Not too likely"
- 66% for "Not likely"
To create the pie chart, use any charting software or tools such as Excel, Google Sheets, or any online pie chart maker, entering the categories and their corresponding percentages.