Define the percentile ranks. How can you obtain the percentile scaled scores? In a measurement, 10 candidates (say A, B. . . . , I) have got the rank, 7, 2, 4, 1, 5, 8, 9, 5, 3 and 6 respectively. Arrange the candidate according to descending order of the percentile ranks with percentile ranking values.

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Answer:

Percentile Ranks:

Percentile ranks indicate the percentage of scores in a distribution that are equal to or below a particular score. For example, if someone is in the 75th percentile, it means their score is higher than 75% of the scores in the distribution.

Obtaining Percentile Scaled Scores:

1. Sort Scores: Arrange all scores in ascending or descending order.

2. Calculate Percentile Rank: Determine the percentage of scores below a given score using the formula: Number of scores below the given score} {Total number of scores} \times 100

Now, let's apply this to your example:

1. **Sorted Scores:** 1, 2, 3, 4, 5, 5, 6, 7, 8, 9

2. **Percentile Ranks:**

- Candidate D (rank 1): {0}{10} \times 100 = 0\%

- Candidate B (rank 2): {1}{10} \times 100 = 10\%

- Candidate I (rank 3): 2}{10} \times 100 = 20\%

- Candidate C (rank 4): {3}{10} \times 100 = 30\%

- Candidates E and H (ranks 5 and 5): {4}{10} \times 100 = 40\%

- Candidate J (rank 6): {5}{10} \times 100 = 50\%

- Candidate F (rank 7): {6}{10} \times 100 = 60\%

- Candidate A (rank 8): 7}{10} \times 100 = 70\%

- Candidate G (rank 9) {8}{10} \times 100 = 80\%

**Descending Order of Percentile Ranks:**

1. Candidate G (80%)

2. Candidate A (70%)

3. Candidate F (60%)

4. Candidate J (50%)

5. Candidates E and H (40%)

6. Candidate C (30%)

7. Candidate I (20%)

8. Candidate B (10%)

9. Candidate D (0%)

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