![]() ![]() ![]() For more information, go to Using the number of distinct categories. According to the AIAG, you need at least 5 distinct categories to have an adequate measuring system. This result indicates that the measurement system can distinguish between parts. For more information, go to Is my measurement system acceptable?.Īlso, this measurement system can distinguish 5 distinct categories. The Total Gage R&R variation might be acceptable depending on the application. The 3 operators measure the temperature of the 10 different samples twice. The engineer randomly selects 30 samples that represent the expected range of the process variation and gives 10 random samples to 3 randomly selected operators. The Total Gage R&R equals 23.71% of the study variation, and the Part–to–Part variation equals 97.15%. An engineer wants to monitor the impact strength of ceramic components. Use %Study Var to compare the measurement system variation to the total variation. This video will help you understand the Gage R&R test which needs to be conducted to check the Measurement error contributed by the Operator primarily. The average measurements of different parts nested within each operator are significantly different. However, the p-value for Part (Operator) is 0.000 and is less than 0.05. Because the p-value is large, the engineer fails to reject the null hypothesis and concludes that the average strength measurement probably does not depend on which operator takes the measurements. ![]() In the ANOVA table, the p-value for Operator is 0.773. ![]()
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