Answer:
0.1056 = 10.56% probability that the concentration exceeds 0.60
Explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
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 pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
![\mu = 0.5, \sigma = 0.08](https://img.qammunity.org/2021/formulas/mathematics/college/gbioswu59855ji8661jy65m3p0mjmzvvnt.png)
What is the probability that the concentration exceeds 0.60?
This is 1 subtracted by the pvalue of Z when X = 0.6. So
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![Z = (0.6 - 0.5)/(0.08)](https://img.qammunity.org/2021/formulas/mathematics/college/hy8xa0gxvshfek01telkrasgjvtm59vb9h.png)
![Z = 1.25](https://img.qammunity.org/2021/formulas/mathematics/college/lytxs26nqgngfi7f9hhey57w3n79o5j8jd.png)
has a pvalue of 0.8944
1 - 0.8944 = 0.1056
0.1056 = 10.56% probability that the concentration exceeds 0.60