Answer: 0.9871
Explanation:
Given : A manufacturer knows that their items have a lengths that are approximately normally distributed with
![\mu=5.8 \text{ inches}](https://img.qammunity.org/2020/formulas/mathematics/high-school/vuqebvepf1rf0b36l5f9pkwz3jloex1re9.png)
![\sigma=0.5\text{ inches}](https://img.qammunity.org/2020/formulas/mathematics/high-school/8jdrp1hrz6fu5yt43z1meb4103p3etprt1.png)
Sample size :
![n=31](https://img.qammunity.org/2020/formulas/mathematics/middle-school/8lnywz2u72zw3mpoteb5l91v0eytbzph95.png)
Let x be the length of randomly selected item.
z-score :
![z=(x-\mu)/((\sigma)/(√(n)))](https://img.qammunity.org/2020/formulas/mathematics/college/kv4zbzwta1cei225xptycu57ns4dmxgoss.png)
![z=(5.6-5.8)/((0.5)/(√(31)))\approx-2.23](https://img.qammunity.org/2020/formulas/mathematics/high-school/fxxbk64usnj01uejd7b67givqisuxmxwox.png)
The probability that their mean length is greater than 5.6 inches by using the standard normal distribution table
=
![P(x>5.6)=P(z>-2.23)=1-P(z<-2.23)](https://img.qammunity.org/2020/formulas/mathematics/high-school/g2eol3nznit10w0yeq2s1fqdhvj3kni5cv.png)
![=1-0.0128737=0.9871263\approx0.9871](https://img.qammunity.org/2020/formulas/mathematics/high-school/979i1ig5hc5x7258un8ld755egse8omptw.png)
Hence, the probability that their mean length is greater than 5.6 inches is 0.9871.