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Message added by Mayank Gupta,

1 Proportion Test is a statistical test to compare the proportion of a sample data set against a target value.

 

An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Pradeep Shukla on 7th Aug 2023.

 

Applause for all the respondents - Ramdas Jadhav, Pradeep Shukla.

1 Proportion Test

Featured Replies

588. Elaborate the usage of 1 Proportion Test with specific examples from your process or organization. Which phases of DMAIC can this test be used?

 

Note for website visitors -

Solved by Pradeep Shukla

1 Proportion test also known as One sample proportion test. It is used when we compare a sample proportion to expected or known Proportion.

 

in our organization it is mainly used in Manufacturing and Marketing Process. Under DMAIC during 

 

1. Define Phase : This test use to define the problem statement for example the Quality parameter of the product is defined and then result are compared. Current company develops Adhesive solution and Proto type for Automotive companies which are compared with results with help of one sample proportion test. 

 

Similarly it is also use in Measure and Analyze phase to reduce waste and get the contribution increase.

 

 

 

  • Solution

1 Proportion Test

 

1 Proportion Test is generally known as one-sample z test for proportions.

This is a statistical method which commonly used to determine that the proportion in certain characteristics in our used sample is significantly different or not from our hypothesized proportion.

This test is generally helpful in single group.

 

As we know that this is a statistical tool so we generally use this tool in Measure and Analyze phase in DMAIC methodology.

 

Measure - In Measure phase, we collect the related data to understand the current situation of our problem. Also, we try to understand the problem with data which we are trying to investigate.

So, we use this 1 Proportion Test in measure phase to determine that we are assessing that whether a proportion which we are measuring is significantly different or not? Like – defect rate etc.

 

Analyze – In this phase, we generally analyze our problem with the help of our data to identify what are the root causes for the said problem. Also, we want to identify the relationship between cause and problem.

So, it generally helps researchers to identify if a certain proportion is deviating and if this statistically significant or not?

For example, if we are working on improving customer satisfaction level and we believe that the actual proportion of satisfied customer is not meeting our target. So, we can apply this test to know whether proportion of satisfied customer is significantly different from our said target or not?

This test is generally more helpful when we have data, and we want to do decision making on the basis of said data.

It is unfortunate that good answers are not approved due to high AI-generated content or plagiarism.

 

Amongst the approved answers, Pradeep Shukla has provided the best answer to this question.

 

P.S. Acceptance of raw material or finished goods is a common application area of the one proportion test.

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