A sheet metal manufacturer is making 10-gauge sheet metal, which is supposed to be 3.416 mm thick. One of the pieces of manufacturing equipment was suspected of malfunctioning, so the manufacturer tested a random sample of 100 pieces of steel to make sure the average steel thickness is 3.416 mm.Which of the following is a statement of the alternative hypothesis? The equipment is not working properly. The average average steel thickness is not 3.416 mm. The equipment is making the sheet metal too thick. The average average steel thickness is greater than 3.416 mm. The equipment is working properly. The average average steel thickness is 3.416 mm.

A sheet metal manufacturer is making 10-gauge sheet metal, which is supposed to be 3.416 mm thick. One of the pieces of manufacturing equipment was suspected of malfunctioning, so the manufacturer tested a random sample of 100 pieces of steel to make sure the average steel thickness is 3.416 mm.Which of the following is a statement of the null hypothesis? The equipment is working properly. The average average steel thickness is 3.416 mm. The equipment is not working properly. The average average steel thickness is not 3.416 mm. The equipment is making the sheet metal too thick. The average average steel thickness is greater than 3.416 mm.

manufacturer is making metal rings. They are supposed to have a diameter of 2.8 mm. One of the pieces of manufacturing equipment was suspected of malfunctioning, so the manufacturer tested a random sample of 100 pieces of these rings to make sure the average diameter is 2.8 mm. Which of the following is the null hypothesis?

b) Distinguish between Type I and Type II error. The breaking strengths of cables produced by a manufacturer have mean 1800 lb and standard deviation 100 lb. By a new technique in the manufacturing process, it is claimed that the breaking strength can be increased. To test this claim, a sample of 50 cables is tested, and it is found that the mean breaking strength is 1850 lb. Can we support the claim at 1% level of significance?

The average breaking strength of steel rods is required to be at least 35,000 psi. Based on historical information, the standard deviation of breaking strength is 1,500 psi. A random sample of 4 specimens had the strength: piece one was 32,000, piece two was 36,000, piece three was 34,000, and piece four was 34,500. What will be null and alternate hypothesis in this case?a.H0: µ = 35,000 psi  and  H1: µ ≠ 35,000 psib.H0: µ ≥ 35,000 psi  and  H1: µ < 35,000 psic.H0: µ > 35,000 psi  and  H1: µ < 35,000 psid.H0: µ ≥ 35,000 psi  and  H1: µ = 35,000 psi

A statistician at a metal manufacturing plant is sampling the thickness of metal plates. If an outlier occurs within a particular sample, the statistician must check the configuration of the machine. The distribution of metal thickness has mean 23.5 millimeters (mm) and standard deviation 1.4 mm. Based on the two-standard deviations rule for outliers, of the following, which is the greatest thickness that would require the statistician to check the configuration of the machine? 19.3 mm X B 20.6 mm 22.1 mm 23.5 mm E 24.9 mm