A major car manufacturer wants to test a new engine to determine whether it meets new air- pollution standards. 100 engines are randomly selected for testing purposes, and the proportion of engines that meet the pollution standards is determined. Do the data supply sufficient evidence to allow the manufacturer to conclude that this type of engine meets the pollution standards more than 80% of the time? Test an appropriate hypothesis at 0.05 level of significance. Test Inputs Hypothesized Proportion 0.8 100 84% 80 Number of Successes 84 60 40 Sample Size 100 20 16% Significance Level (alpha) 0.05 Success Failure Test Results Result Value Estimated Proportion 0.84 Standard Error of Proportion 0.04 z Critical Values 2.5758 Test Statistic 1 Observed Significance (p-Value) 0.1587 **Answer all of the following questions. Note: You must clearly label your answers/work for Part A, Part B, Part C, and Part D. Feel free to include your work for partial credit. Part A: Define the parameter that we are testing. Be sure to include the correct symbol. Part B: Write the null and alternative hypotheses in context. Part C; Check the conditions for this inferential procedure. Part D: Write the conclusion of the hypothesis test in context