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Based on the histogram, find the proportion of selling times in the sample that are at least 10 days. Write your answer as decimal, and do not round your answer.

Let's reanalyze the histogram to determine the correct proportions.

### Histogram Analysis:
- The x-axis represents selling times in days.
- The y-axis represents the frequency of occurrences.

For selling times of **at least 10 days**, we need to consider the bars corresponding to 10 days and beyond.

### Frequencies:
1. **10 days interval:** The bar corresponding to 10 days has a height of 5.
2. **15 days interval:** The bar corresponding to 15 days has a height of 4.

### Total Frequency:
Now, add up the frequencies for all intervals to find the total frequency:
- Frequencies are: 6, 11, 5, 4, 4.

The total frequency is:
\[ 6 + 11 + 5 + 4 + 4 = 30 \]

### Proportion Calculation:
The sum of frequencies for selling times of at least 10 days is:
\[ 5 + 4 = 9 \]

Now, calculate the proportion:
\[
\text{Proportion} = \frac{9}{30} = 0.3
\]

Thus, the proportion of selling times in the sample that are at least 10 days is **0.3**.

Do you have any further questions, or would you like more details?

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**Related Questions:**
1. What is the proportion of selling times that are less than 5 days?
2. What is the mode of the selling times based on this histogram?
3. How would adding a selling time of 20 days affect the histogram?
4. What is the cumulative frequency for selling times of at least 5 days?
5. Can the median selling time be estimated from this histogram? If so, what is it?

**Tip:** When interpreting histograms, make sure to carefully count the frequency for each interval, especially when multiple bars need to be summed up for your calculation.

Learn how to find the proportion of selling times in a sample that are at least 10 days using histogram analysis. This problem involves analyzing frequency distributions and calculating proportions. Suitable for Grades 9-12 students studying statistics.

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