On a production day, the following samples of car engine parts are found:

**Sample A: 150 parts with sample mean diameter 1.495 cm and variance 0.36**

Sample B: 150 parts with sample mean diameter 1.505 cm and standard deviation 0.9

Sample B: 150 parts with sample mean diameter 1.505 cm and standard deviation 0.9

Which sample of car engine parts is more likely to be sent for reproduction? Explain why.

I'm not quite sure how to solve this question, and I don't think my answer is correct. I thought that comparing the z-scores of a 1.5cm part for both samples would allow me to determine how common a 1.5cm hose is in each sample.

My z scores were as follows:

z = 0.00833333333333333 <-- Sample A

and

z= -0.005555555555555555 <-- Sample B

I thought that because Sample B's z score for a diameter of 1.5cm is closer to the average, then there would not be as many outliers and thus not as many car parts would be rejected.

PLEASE HELP.