Answer:
16% is the percent of wooden shipping boxes will have breaking strengths greater than 520 pounds per square inch.
Explanation:
We are given the following information:
Mean = 500 pounds
Standard Deviation = 20 pounds
Empirical rule:
- The empirical rule also known as the three-sigma rule or 68-95-99.7 rule
- It is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ).
- It shows that 68% falls within the first standard deviation that is
![\mu \pm \sigma](https://img.qammunity.org/2020/formulas/mathematics/college/441d8n2kvyn4qbj0eib7pxaw6kj3xzgafl.png)
- About 95% of the data lies within the first two standard deviations that is
![\mu \pm 2\sigma](https://img.qammunity.org/2020/formulas/mathematics/college/s6xlztvyiys40vysbdkyiz97rxvr6d8d3d.png)
- About 99.7% of the data lies within the first three standard deviations that is
![\mu \pm 3\sigma](https://img.qammunity.org/2020/formulas/mathematics/college/u1s6dzlueb0yte9osd4fm19re9cv0rm08c.png)
We have to find the percent of its wooden shipping boxes that will have breaking strengths greater than 520 pounds per square inch.
Now,
![520 = 500 + 1(20)](https://img.qammunity.org/2020/formulas/mathematics/college/mumjdaw1jzywgr5napjhu477v6dx19vk02.png)
According to empirical rule around 68% of the data will lie between
![500 \pm 1(20)= (480,520)](https://img.qammunity.org/2020/formulas/mathematics/college/aejdv97qciab6qv6n0r75gkz9spvh72tjk.png)
Thus, 34% of data lies between 500 and 520.
Data lying above 520 = 50% - 34% = 16%
16% is the percent of wooden shipping boxes will have breaking strengths greater than 520 pounds per square inch.