Respuesta :
Using the normal distribution, it is found that 3.60% of players are at risk.
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Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set 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]
The Z-score 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. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
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- Mean of 0.261 means that [tex]\mu = 0.261[/tex]
- Standard deviation of 0.034 means that [tex]\sigma = 0.034[/tex].
The proportion of players with a batting average below 0.20 is the p-value of Z when X = 0.2, thus:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{0.2 - 0.261}{0.034}[/tex]
[tex]Z = -1.79[/tex]
[tex]Z = -1.79[/tex] has a p-value of 0.036.
0.036*100% = 3.60%
3.60% of players are at risk.
A similar problem is given at https://brainly.com/question/15181104