1) What is a Type I error in terms of our null hypothesis ? A type I error is basically a false alarm. That is, it is the probability of rejecting the null hypothesis when the null hypothesis is true. 2) What is a Type II error in terms of the null hypothesis? A type II error occurs when one is accepting a false null hypothesis(fails on rejecting the false null hypothesis). 3) Which is the more serious error? Most researchers consider a Type I error more serious because they would rather miss a result (Type II error) than conclude that there is a meaningful difference when there really is not (Type I error). 4) What is a control chart? A control chart is a statistical analysis tool, which is primarily used to check if a process (say a manufacturing process) is under control or not, so that a corrective action may be initiated if the process is found to be out of control. We may set up control charts for mean, range, number of defectives or fraction defectives depending upon the type of
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