Answer:
62.93%
Explanation:
Z score is a score used in statistics to measure by how many standard deviations that the raw score is above or below the mean. A positive z score means the raw score is above the mean and a negative z score means the raw score is below the mean. The z score is given as:
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/high-school/24k01r9qa0a6ibv4tds8q1jpbjh932http.png)
Given that:
Mean (μ) = 30.05 inches, standard deviation (σ) = 0.3 inches
For x > 29.95
![z=(x-\mu)/(\sigma)\\\\z=(29.95-30.05)/(0.3) =-0.33](https://img.qammunity.org/2021/formulas/mathematics/college/vxhwnd203r7fx2y5dhafl4hoe3t9au1dei.png)
From the normal distribution table, P(x > 29.95) = P(z > -0.33) = 1 - P(z < 0.33) = 1 - 0.3707 = 0.6293 = 62.93%