1. [3/4 Points] - PREVIOUS ANSWERS ASKYOUR TEACHER A quality control engineer at a particular lcd screen manufacturer is studying the mean number of defects per screen. Based on historical evidence, the mean number of defects per screen was thought to be 1.83. There have recently been changes to the manufacturing process, and the engineer now feels that the mean number of defects per screen may be signicantly larger than 1.83. Using the number of defects on each of 50 sample screens shown below, conduct the appropriate hypothesis test using a 0.05 level of signicance. fAssngnment 7q1 data: a) What are the appropriate null and alternative hypotheses? O Ho: [4 = 1.83 versus Ha: [4 * 1.83 O HO: [4 = 1.83 versus Ha: [4 1.83 O Ho: ; = 1.83 versus H5: )7 > 1.83 V b) What is the test statistic? Give your answer to four decimal places. 1.1452 J c) What is the P-value for the test? Give your answer to four decimal places. 0.1288 x d) What is the appropriate conclusion? 0 Fall to reject the claim that the mean number of defects per screen is 1.83 because the P-value is smaller than 0.05. O Reject the claim that the mean number of defects per screen is 1.83 because the P-value is larger than 0.05. Fail to reject the claim that the mean number of defects per screen is 1.83 because the P-value is larger than 0.05. O Reject the claim that the mean number of defects per screen is 1.83 because the P-value is smaller than 0.05. .I