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What is minitab used for11/7/2022 ![]() ![]() Alternatively, you may want to randomize with a split-plot design in order to minimize the level changes. Under these conditions, you may not want to randomize. Or, after factor levels are changed, it may take a long time for the system to return to a steady state. For instance, in industrial applications, it may be difficult or expensive to change factor levels. There may be situations when randomization leads to an undesirable run order. If you do not randomize, the run order and the standard order are the same. ![]() This is the order you should follow when you run the experiment. RunOrder shows what the order of the runs in the experiment would be in random order.StdOrder shows what the order of the runs in the experiment would be if the experiment was done in standard order, or Yates order.Minitab reserves and names C1 ( StdOrder) and C2 ( RunOrder) to store the standard order and run order, respectively. For example, a 2-level full factorial design based on the bookbinding example yields the following results, (which will vary because of randomization): When you create a designed experiment, Minitab automatically randomizes the run order, or ordered sequence of the factor combinations, of the design. For example, the bookbinding machine might not apply consistent pressure. Or, perhaps there are other "unknowns" that cannot be easily controlled or measured. However, you cannot control humidity, which can affect how quickly the glue sets. You can control factors such as glue temperature, paper type, and cooling time. Suppose you work for an offset printing company and want to maximize the effectiveness of the bookbinding technique. Randomization also lets you estimate the inherent variation in materials and conditions so that you can make valid statistical inferences based on the data from your experiment. By randomizing the order in which experimental runs are done, you reduce the chance that differences in experimental materials or conditions strongly bias results. For example, ambient temperature, humidity, raw materials, or operators can change during an experiment and inadvertently affect test results. Randomization is a technique that is used to balance the effect of extraneous or uncontrollable conditions that can impact the results of an experiment. ![]()
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