In a manufacturing company, ball bearings are fabricated. The new process engineer wants to investigate if the number of defects in the bearings follows a certain probability density function. During the next ve days, the engineer collected bearings and counted the number of defects in each bearing. After doing some research, the process engineer wanted to test if the number of defects follows a binomial distribution with n = 4 and p = 0.5 with a 99% condence in the results. The data is shown below: # Defects Frequency* 0 10 1 41 2 7O 3 57 4 22 *Frequency is the number of bearings having some number of defects. ****NO NEED TO COMBINE CELLS IF THE E(X) IS LESS THAN 3\"\" A. Determine the total number of bearings the process engineer collected: B. Determine the expected frequencies for 0 defects and 4 defects C. Determine 13: D. Determine 131: E. Does the number of defects follow a binomial distribution? \"yes" or "no" (lowercase, without quotes)