Please help me to solve this probability engineering question

A company receives a large shipment of screws. The screws will be used in an application that requires a torque of 100 J. Before the shipment is accepted, a quality engineer will sample 10 screws and measure the torque needed to break each of them. The shipment will be accepted if the engineer concludes that fewer than 1% of the screws in the shipment have a breaking torque of less than 100 .J. a. The 10 values are 109, 110, 111, 113, 114, 114, 115, 117, 119. 122. Assume the 10 values are sampled from a normal population, and assume the sample mean and standard deviation calculated from these 10 values are actually the population mean and standard deviation. Compute the proportion of bolts whose breaking torque is less than 100 J. Will the shipment be accepted? b. What if the 10 values had been 108, 110, 112, 114, 115, 116, 11B,120,123,140? Using the same assumptions in (a), determine whether the shipment would have been accepted. c. Compare the sets of 10 values in parts (a) and (b). In which sample are the screws stronger? That is, the sample in part (a) or the sample in part (b)? d. is the method valid for both samples? Why or why not