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To solve this problem, we need to determine the proportion of adjustable/fixed ratios that are greater than or equal to 0.80 based on the histogram provided.

### Step-by-step approach:

1. **Identify the relevant class interval:** 
   - The histogram shows different intervals of adjustable/fixed ratios along the x-axis. 
   - The interval that includes values greater than or equal to 0.80 is the class interval from **0.80 to 1.00**.

2. **Find the frequency in the relevant class interval:**
   - In the interval 0.80 to 1.00, the frequency (number of participants) is **2**.

3. **Total number of participants:**
   - The problem states that a total of **25 participants** were tested.

4. **Calculate the proportion:**
   - The proportion of participants with adjustable/fixed ratios greater than or equal to 0.80 is calculated by dividing the frequency of that class interval by the total number of participants.
   
   \[
   \text{Proportion} = \frac{\text{Frequency in the 0.80 to 1.00 interval}}{\text{Total number of participants}} = \frac{2}{25}
   \]

5. **Final calculation:**

   \[
   \text{Proportion} = 0.08
   \]

Thus, the proportion of adjustable/fixed ratios that are greater than or equal to 0.80 is **0.08**.

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Would you like further details or have any questions on this?

Here are 5 related questions that expand on this concept:
1. How would you calculate the proportion of participants with ratios between 0.40 and 0.60?
2. What is the cumulative frequency for ratios less than 0.60?
3. How would the proportion change if the frequency in the 0.80-1.00 interval was 5 instead of 2?
4. What statistical methods could we use to analyze the overall distribution of ratios?
5. How could this experiment be extended to investigate other aspects of visual perception?

**Tip:** When interpreting histograms, always pay attention to the width of the bins (class intervals) and the height (frequency) to understand how data is distributed across different ranges.

Based on the histogram, find the proportion of adjustable/ fixed ratios in the sample that are greater than or equal to 0.80. Write your answer as a decimal, and do not round your answer.

Calculate the proportion of adjustable/fixed ratios greater than or equal to 0.80 from experimental data summarized in a histogram. This example demonstrates proportion calculation and data interpretation, with 25 participants in total and a specific class frequency of 2.

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