A computer company wants to determine if there is a difference in the proportion of defective computer chips in a day’s production from two different production plants, A and B. A quality control specialist takes a sample of 100 chips from the first hour of production from plant A and determines that there are 12 defective chips. The specialist then takes a sample of 100 chips from the last hour of production from plant B and determines that there are 10 defective chips. He wants to construct a 90% confidence interval for the true difference in proportions of defective chips from a day’s production between the two plants. Are the conditions for inference met? a. Yes, the conditions for inference are met. b. No, the 10% condition is not met. c. No, the randomness condition is not met. d. No, the Large Counts Condition is not met.