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Sagot :
Using z-scores, it is found that due to the higher z-score, Bryant had the better performance.
Normal Probability Distribution
In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
- It measures how many standard deviations the measure is from the mean.
- After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
- The above bullet point means that higher z-scores mean a better performance.
For Maravich, we have that the parameters are [tex]X = 2273, \mu = 1198, \sigma = 379[/tex], hence:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{2273 - 1198}{379}[/tex]
Z = 2.84.
For Bryant, we have that the parameters are [tex]X = 2832, \mu = 1123, \sigma = 433[/tex], hence:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{2832 - 1123}{433}[/tex]
Z = 3.95.
Due to the higher z-score, Bryant had the better performance.
More can be learned about z-scores at https://brainly.com/question/24663213
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