2-Sample Proportion (% Defectives) Test: Illustration with Practical Example in Minitab

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Hello Friends,
Till the last videos on hypothesis test to compare 2 samples with each other, we had completed the learning of hypothesis tests for continuous data.
In this video, we are going to learn the 1st hypothesis test to compare 2 samples with each other for attribute data i.e. 2-Percentage Defectives Test or 2-Sample Proportion 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 2-Sample Proportion (% Defectives) Test in Hypothesis testing?
• Hypotheses for 2-Sample Proportion (% Defectives) Test
• Data considerations for 2-Sample Proportion (% Defectives) Test
• Example of 2-Sample Proportion (% Defectives) Test and Confidence Interval
• Conduct 2-Sample Proportion (% Defectives) Test in Minitab with a practical example
• Detailed interpretation of results from 2-Sample Proportion (% Defectives) Test including Descriptive Statistics, Estimation for the difference in proportions (% defectives), p-value & its interpretations and finally the conclusion.
I am sure, you will be liked it.

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Please watch: "Design of Experiment (DOE): Introduction, Terms and Concepts with Practical Example- PART 1"
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[kellybm]

Great video! where can I find the video about sample size determination? Thanks

[shaswathandsharancraftscor]

Which test one need to use when comparing Sample of Accuracy percentage for the document agaisnt target SLA %

[SD-unii]

Very nice video. I have one doubt regarding entering data in sample 1 and sample 2 fields under summarized data. Is there any specific guideline to enter data in these fields. I mean, will it affect the p value or other results if we enter data interchangeably. For example in this video 'Sample 1' = 725/802 and 'Sample 2' = 573/712. So, if we enter in sample 1 = 573/712 and in sample 2 = 725/802, can we enter interchangeably. If no, then what is the rule or guidelines for entering these entries. Expecting your response soon. Thank you.

[akshay]

Which "p" test can be applied to study before and after result