Answer:
She should guarantee a weight of 4.18 pounds.
Explanation:
Problems of normally distributed samples can be 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 = 8.6, \sigma = 1.9](https://img.qammunity.org/2021/formulas/mathematics/college/4gcr6hkyhuc670gg1yjz2hqxkmg6xl3uwv.png)
What weight should she guarantee so that she will have to give her customer's money back only 1% of the time?
She should guarantee the 1st percentile of weights, which is X when Z has a pvalue of 0.01. So it is X when Z = -2.327.
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![-2.327 = (X - 8.6)/(1.9)](https://img.qammunity.org/2021/formulas/mathematics/college/gt7z0sd8xkv9cyyarlxzcchvrlxnyahplf.png)
![X - 8.6 = -2.327*1.9](https://img.qammunity.org/2021/formulas/mathematics/college/rjjh6xmn018s67vd6b9ips5g659zff1uw5.png)
![X = 4.18](https://img.qammunity.org/2021/formulas/mathematics/college/lfmt4g3dy56547p6juzabc57xs21rel4jj.png)
She should guarantee a weight of 4.18 pounds.