I have a machine which produces belts with normalized length of 30 cm. Now there is the assumption that the machine works incorrectly and produces belts with a slightly lesser length.
From a test with 100 measurements a mean value of 25 and a standard deviation of 3 cm have been acquired. How could one check these data against a significance level of 0.05? I am somehow stuck..
From Minitab, which accepts summary data, here is output for an appropriate test. The null hypothesis that the population mean remains $\mu = 30,$ is strongly rejected. (Because only summary data are provided, there is no way to check whether data are normal, as required for this one-sample t test.)