As an expert in statistical measures, I specialize in interpreting and analyzing data, including percentile ranks. Percentile ranks are a way to understand the relative standing of a particular value within a dataset. They are particularly useful in educational assessments, psychological measurements, and various other fields where it's important to gauge an individual's performance or a value's position relative to a group.

### Understanding Percentile Ranks

A percentile rank is a measure that indicates the percentage of scores in a dataset that are lower than a particular score. For instance, if a score has a percentile rank of 75, it means that 75% of the scores in the dataset are lower than that score, and 25% are higher.

### Standard Score Range and Percentile Rank Range

The standard score is a way to express a raw score in terms of its relative standing within a distribution. It's often used in standardized testing and psychological assessments. The standard score is then associated with a percentile rank that provides a more intuitive understanding of the score's standing.

The provided table seems to correlate standard scores with percentile ranks and includes a classification system, possibly from a specific test like the Woodcock-Johnson III (WJIII). Here's a breakdown based on the information given:

- Standard Score Range: This is the range of scores on a standardized test.
- Percentile Rank Range: This is the range of percentiles that correspond to the standard score range.
- WJIII Classification: This classification might be a way to categorize the scores into different performance levels based on the percentile ranks.

### Average Range for Percentile Rank

The average range for a percentile rank is not a fixed value because it depends on the distribution of the dataset. However, in a normal distribution (bell curve), the average score would typically fall around the 50th percentile. This is because, by definition, 50% of the scores are below the average, and 50% are above.

### Interpreting the Table

Based on the snippet provided:

- Scores ranging from 111 to 120 are associated with a percentile rank of 76 to 91, which is classified as High Average.
- Scores from 90 to 110 correspond to a percentile rank of 25 to 75, categorized as Average.
- Scores between 80 and 89 are linked to a percentile rank of 9 to 24, labeled as Low Average.
- Scores of 70 to 79 are associated with a percentile rank of 3 or less, which might be classified as Low, although the classification is not provided in the snippet.

### Conclusion

Percentile ranks are a valuable tool for understanding where a score stands in relation to a group. The average range for a percentile rank is context-dependent and cannot be generalized without knowing the specific distribution of scores. The table provided gives a snapshot of how scores might be categorized based on their percentile ranks, which is particularly useful for interpreting standardized test results or psychological assessments.

Now, let's proceed with the translation into Chinese.

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Percentile RanksStandard Score RangePercentile Rank RangeWJIII Classification111 to 12076 to 91High Average90 to 11025 to 75Average80 to 899 to 24Low Average70 to 793 to 8Low3 more rowsread more >>