Answer:
The answer is below
Explanation:
a) For a normal model the sample size has to be equal or greater than 30 so that it can be a normal distribution.
b) Given that:
μ = 11.2 minutes, σ = 4.8 minutes, n = 45
The z score determines how many standard deviations the raw score is above or below the mean. It is given by:
![z=(x-\mu)/(\sigma) \\For\ a\ sample\ size(n)\\z=(x-\mu)/(\sigma/√(n) )](https://img.qammunity.org/2021/formulas/mathematics/college/hn6tmmhwyzomhxavotpkwufeyy65f2tkr4.png)
For x < 10 minutes
![z=(x-\mu)/(\sigma/√(n) )\\\\ z=(10-11.2)/(4.8/√(45) )= -1.68](https://img.qammunity.org/2021/formulas/mathematics/college/ehmiz8a6q1yjirpciwecqb3zp7ipd36a01.png)
Therefore from the normal distribution table, P(x < 10) = P(z < -1.68) = 0.0465