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#HypothesisTest #ChiSquare%DefectiveTest #HypothesisTestMinitab #HypothesisTestsWithPracticalExamples #HypothesisTestingMinitabAssistant #HypothesisTestForMoreThan2Samples #HypothesisTestAttributeData Hello Friends, In this video, we are going to learn the hypothesis test for attribute data to compare more than two samples. There are 2 tests available based on the data and of comparison. If you count the number of items in each category, such as poor, fair, good, excellent, etc. and compare the percentage of items in each category between the samples, then you have to use Chi-Square Test for Association. We had already seen this test in past videos. In this video, we are going to learn the 2nd hypothesis test for attribute data to compare more than two samples i.e. Chi-Square % Defective Test in Minitab software with the help of a practical example for easy understanding and better clarity. This video consists of the following topics: • What is the Chi-Square % Defective Test in Hypothesis testing? • Hypotheses for Chi-Square % Defective Test • Data considerations for Chi-Square % Defective Test • Example of Chi-Square % Defective Test • Data collection for Chi-Square % Defective Test • Conduct Chi-Square % Defective Test in Minitab Assistant with a practical example • Detailed interpretation of results from Chi-Square % Defective Test including_ 1. Summary report of the Chi-Square % Defective Test for variables 2. Diagnostic report of the Chi-Square % Defective Test for variables 3. Power report of the Chi-Square % Defective Test for variables 4. Report card of the Chi-Square % Defective Test for variables, and 5. Finally, the conclusion. I am sure, you will be liked it. You can also access this training by visiting our website- https://www.learnandapply.org/ We have also updated the “Our Services” page on this website to select the most appropriate program to improve your profitability and employee engagement. And finally, thank you for watching… ~-~~-~~~-~~-~ Please watch: "Design of Experiment (DOE): Introduction, Terms and Concepts with Practical Example- PART 1" • Design of Experiment (DOE): Introduction, ... ~-~~-~~~-~~-~