Standardizing with z-Scores and Percentiles

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Flashcards reviewing key vocabulary, formulas, interpretations, and calculations for percentiles and z-scores based on Pixel Run and Soccer career statistics.

Last updated 6:05 PM on 9/22/26
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10 Terms

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Percentile

The percent of values in a distribution that are less than or equal to a given value.

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z-Score (Standardized Score)

A measure that describes a value's position relative to the mean, calculated using the formula z=value−meanSDz = \frac{\text{value} - \text{mean}}{\text{SD}}.

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Standardized Score Interpretation Template

A standard phrasing for interpreting a z-score: "[The context] is [z][z] standard deviations [above/below] the mean."

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Patrick's Pixel Run z-Score

For a score of 500500 with mean 700700 and SD 100100, z=500−700100=−2z = \frac{500 - 700}{100} = -2, meaning the score is 22 standard deviations below the mean.

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SpongeBob's Pixel Run z-Score

For a score of 800800 with mean 700700 and SD 100100, z=800−700100=1z = \frac{800 - 700}{100} = 1, meaning the score is 11 standard deviation above the mean.

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SpongeBob's Relative Game Performance

SpongeBob performed better relative to his peers in Star Catch (z=1.5z = 1.5) than in Pixel Run (z=1z = 1) because 1.5>11.5 > 1.

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Lionel Messi's Career Goals Percentile

9696\% (calculated as 2425=96%\frac{24}{25} = 96\text{\%}), indicating that 9696\% of the top 2525 soccer players scored less than or equal to Messi's total of 819819 goals.

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Lionel Messi's Career Goals z-Score

z=819−72260=1.617z = \frac{819 - 722}{60} = 1.617, meaning Messi's career goals total is 1.6171.617 standard deviations above the mean of 722722.

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Romário's Career Goals

780780 goals, corresponding to the 80th80\text{th} percentile (0.8×25=20th0.8 \times 25 = 20\text{th} value in ordered data).

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Lionel Messi's Career Assists z-Score

z=392−15873=3.205z = \frac{392 - 158}{73} = 3.205, showing his assists performance (3.2053.205 SD above mean) was more impressive than his goal performance (1.6171.617 SD above mean).