A mechanical engineer is testing a new high-strength alloy b…

A mechanical engineer is testing a new high-strength alloy bolt. The historical mean tensile strength for standard bolts is 800 MPa. The engineer claims that a new heat-treatment process increases the mean tensile strength.Population Standard Deviation (Known): σ = 20 MPaSample Size: n = 45 bolts are tested.Significance Level: α = 0.05Hypothesis: H₀: μ = 800 vs. H1: μ > 800The engineer performs a one-sample z-test using statistical software. The output is shown below.Software Output (MINITAB)One-Sample Z: Tensile Strength Test of mu = 800 vs > 800 The assumed standard deviation = 20Variable         N    Mean    StDev   SE Mean       95% Lower Bound     Z-Value   P-ValueStrength          45  804.62      20           3.42                   799.71                      1.55         0.061Based on the output above, select the best statistical conclusion.

A manufacturing engineer measures the average output of a pr…

A manufacturing engineer measures the average output of a process using a sample of 28 parts. The population standard deviation is not known, and no strong assumptions are made about the population shape. Select both the appropriate hypothesis test and the best justification.

An industrial engineering team redesigned a workstation layo…

An industrial engineering team redesigned a workstation layout to reduce average assembly cycle time for a high‑volume product. Historically, the mean assembly time for this task is μ=12.0minutes per unit. After implementing the new layout, a random sample of 64 units is observed. The sample mean cycle time is x=11.2minutes. From prior studies, the population standard deviation of assembly time is known to be σ=1.6minutes. Management believes the new layout reduces average cycle time, meaning the population mean should be less than 12 minutes.Select the appropriate null hypothesis (H0) and alternative hypothesis (H1).

A manufacturing engineer is evaluating whether a surface‑fin…

A manufacturing engineer is evaluating whether a surface‑finishing process has altered the mean thickness of a protective coating.Target (historical) mean thickness: μ₀ = 125 micronsA random sample of 12 components is collected after the process change.The engineer performs a two‑tailed one‑sample t‑test using statistical software.The software output is shown below.Software Output (MINITAB‑Style)One-Sample T: Coating ThicknessTest of mu = 125 vs not = 125Variable          N     Mean     StDev    SE Mean       95% CI          T-Value   DF   P-ValueThickness      12   128.4       4.1           1.18      (125.8, 131.0)       4.68        11     0.015Based only on the output above, select the best statistical conclusion.

The head mechanical engineer wants you to verify the softwar…

The head mechanical engineer wants you to verify the software results evaluating the claim that a new heat-treatment process will increase the mean tensile strength for alloy bolts. The historical mean tensile strength for standard bolts is 800 MPa. The Population Standard Deviation (σ) is known to be 20 MPa. Sample Size: 45 bolts Significance Level: α = 0.05 Hypothesis: H₀: μ = 800 vs. H1: μ > 800 The engineer performed a one-sample z-test using MINITAB Using the data and software output below, complete the following checks. MINITAB Output One-Sample Z: Tensile Strength Test of mu = 800 vs > 800 The assumed standard deviation = 20 Variable         N    Mean    StDev   SE Mean    95% Lower Bound    Z-Value   P-Value Strength         45   804.62      20                             799.71                     0.061 Tasks  (a) Compute the standard error (SE) of the sample mean. (b) Compute the z‑statistic. Note: Round to 2 decimals