0.26
0.28
0.31
0.52
0.62
0.64
0.64
0.65
0.75
0.88
0.88
0.91
0.91
0.91
0.93
0.93
0.99
0.99
1.08
1.10
1.10
1.12
1.12
1.14
1.14
1.14
1.15
1.16
1.20
1.20
1.22
1.23
1.23
1.25
1.29
1.29
1.31
1.32
1.33
1.33
1.38
1.38
1.40
1.40
1.40
1.46
1.46
1.49
1.50
1.52 Precentile of 0.62

To find the percentile of the value 0.62 within this dataset, we need to determine the proportion of values that are less than or equal to 0.62.

### Step-by-step Process:
1. Count the number of values in the dataset.
2. Count how many values are less than or equal to 0.62.
3. Calculate the percentile using the formula:

\[
\text{Percentile} = \left(\frac{\text{Number of values below or equal to the given value}}{\text{Total number of values}}\right) \times 100
\]

### Let's go through these steps:

1. **Total number of values:** 50 (listed values)
2. **Number of values ≤ 0.62:** 5 values (0.26, 0.28, 0.31, 0.52, 0.62)

3. Now, calculate the percentile:

\[
\text{Percentile} = \left(\frac{5}{50}\right) \times 100 = 10\%
\]

Thus, the value 0.62 is at the **10th percentile**.

Would you like more details or have any questions?

Here are some related questions:
1. How does the percentile rank differ from a percentage?
2. Can you explain how percentiles are used in statistics?
3. What is the interquartile range, and how does it relate to percentiles?
4. How would the percentile change if a new value was added to the dataset?
5. How do percentiles differ from quartiles?

**Tip:** Percentiles are especially useful in comparing a value against the overall distribution of a dataset.

0.26 0.28 0.31 0.52 0.62 0.64 0.64 0.65 0.75 0.88 0.88 0.91 0.91 0.91 0.93 0.93 0.99 0.99 1.08 1.10 1.10 1.12 1.12 1.14 1.14 1.14 1.15 1.16 1.20 1.20 1.22 1.23 1.23 1.25 1.29 1.29 1.31 1.32 1.33 1.33 1.38 1.38 1.40 1.40 1.40 1.46 1.46 1.49 1.50 1.52 Precentile of 0.62

Discover how to calculate the percentile of the value 0.62 within a given dataset. This problem demonstrates step-by-step instructions, including the key statistical formula used in data analysis. Perfect for students in Grades 9-12 looking to understand percentiles and their application.

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