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Evaluation and Assessment of Individuals: Central Tendency Statistics, Normal Distribution and Interpretation

This discussion covers central tendency statistics such as mean, median, and mode using a set of numbers. It also delves into frequency distribution graphs and explores normal distribution scenarios, including percentiles, z-scores, and T-scores. Lastly, it offers psychometric summary interpretation ranking for various score ranges.

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Evaluation and Assessment of Individuals: Central Tendency Statistics, Normal Distribution and Interpretation

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  1. PSY 6645 Evaluation and Assessment of the Individual: Week 2 Discussion

  2. Central Tendency • Use the following numbers: • 1,3,2,5,4 • Describe the following statistics: • Mean • Median • Mode • Draw a frequency distribution graph. • Are these scores normally distributed?

  3. Illustration of a Normal Curve

  4. Using the Normal Curve • Scenario: You administer a test that is normally distributed with a mean of 100 and a standard deviation of 15. • Can a score of 90 be described as “average?” • Can a score of135 be described as average?” • What percentage of the population have a score of 130 or above? • What percentage of the population has a score below 130?

  5. Using the Normal Curve • Scenario: You administer a test that is normally distributed with a mean of 100 and a standard deviation of 15. • What percentile rank is a score of 85? • What percentile rank is a score of 115? • What is a z-score of a score of 85? • What is a z-score of a score of 115? • What is a T-score of a score of 70? • What is a T-score of a score of 130?

  6. Putting it to Use • Psychometric Summary to Interpret • Use this ranking for interpretation: • 130 and above Upper Extreme • 120-129 Superior • 110-119 Above Average • 90-109 Average • 80-89 Below Average • 70-79 Low • 69 and Below Lower Extreme

  7. Measuring Up • Using the MMY provided to each group, go through and choose one test that you would find useful for your field of study. • Discuss that test with your group.

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