There also c and d. C is what is the distribution of test statistic under null hypothesis? D is what is BEST corresponding 99% confidence interval/ bound?

VERSITY OF LBERTA eClass HELP EMAIL Steel rods are widely used in the construction industry. Suppose a manufacturer of steel rods is experimenting with a new technology that is supposed to increase the mean breaking strength of the rods. A random sample of 14 rods was obtained with old technology (OLD) and another random sample of 14 was obtained with the new technology (NEW). The breaking strength of each rod in the two groups was determined (in psi, pounds per square inch). Then, the 14 new technology rods were subjected to high pressure in three high pressure chambers and the breaking strength of each of the 14 rods was determined again (NEWHPRESS) Finish Time I OLD 52 55 45 48 43 63 54 60 58 70 52 68 58 46 NEW 65 67 55 69 66 74 60 56 63 58 58 55 NEWHPRESS 70 71 62 77 73 72 78 76 62 62 66 62 60 62 a. Do the data provide evidence that the average strength of the new technology rods is higher than the average strength of the old technology rods? Carry out the appropriate test. What is the p-value of the test and the degrees of freedom (di) of the test? Op-value = 0.007262, df = 24 Op-value = 0.003455, of = 26 Op-value = 0.00691, df = 26 Op-value = 0.009094, df = 13 Op-value = 0.003631, of = 24 b. Do the data provide evidence that high pressure treatment is effective in increasing strength of new technology rods? Carry out the appropriate test. What is the value of the test statistic? 4.595 0 0.968 5.238 1.935 10.476