A company is sued for job discrimination because only 20% of the newly hired candidates were women when 35% of all applicants were women. Is this strong evidence that the company's hiring practices are discriminatory? Complete parts a) through f) below. a) Is this a one-tailed or a two-tailed test? Why? O A. This is a one-tailed test because there is only one sample proportion. O B. This is a two-tailed test because the lawsuit only claims the company is discriminatory, not how they are discriminatory. O C. This is a one-tailed test because the company wouldn't be sued if "too many" women were hired. O D. This is a two-tailed test because all employees are either women or not women. b) In this context, what would a Type I error be? O A. AType I error is deciding the company is not discriminating when, in fact, it is not. O B. AType I error is deciding the company is discriminating when, in fact, it is. OC. AType I error is deciding the company is discriminating when it is not. O D. A Type l error is deciding the company is not discriminating when it is. O E. There is no Type I error in this context. c) In this context, what would a Type Il error be? O A. AType Il error is deciding the company is not discriminating when, in fact, it is not. O B. AType ll error is deciding the company is discriminating when, in fact, it is. OC. A Type Il error is deciding the company is discriminating when it is not. O D. A Type Il error is deciding the company is not discriminating when it is.