are fewer than three defective ball beanings, then the entre days production will be A factory manufactures ball bearings. Each production day the quality control epartment randomly snlecte ninn h sheck them fer delects. Ithere Shipped. Suppose that last Eitay the macines were not calibrated comectly and consequenty, 60% of that day's production of bal bearings were defective This is a binomial experiment because we can define a random variable to be A the number of defective ball bearings randomly selected, and te anerert bat bearing selections are independent of each other. What is the number of independent trials, the probability of success p, and the probability of failure 1-p? E I-10.02s0)- 0.9750 b. What is probability that exactly three out of the nine randomly chosen ball bearings will be defective? e. What is the probability that last Friday's production will be shipped? That is what is the probability that fewer than three ball bearings will be defective out of nine randomly chosen ones? d. What is the probability that at least three ball bearings will be defective?