Discussion on measure phase

3. Measurement system analysis

Hello and welcome back to the third session on the measurement phase. Here we will talk about measurement system analysis. The most important parts of the Six Sigma project are measurement system analysis and process capability. Because here we assess the performance of the process and analysis. Collect the data. When measurement system analysis is done, it assesses whether your data is precise or accurate. Because most of the time measurement systems are accurate but not precise, So you need to identify the sources of variation in your system. Whether the variations are due to equipment or to operator or participant error, or whether environmental conditions are to blame. because that variation leads to measurement error. And if there is measurement error in your system, you will be unable to make the best decision for process improvement. So, the questions asked on measurement system analysis are generally based on the interpretation of graphs, and some theoretical concept-based questions and also application-based questions are there. So for that, you need to have a proper understanding of the purpose of measurement system analysis. What is the difference between precision and accuracy? What does it mean by repeatability, reproducibility, linearity, and stability bias? And what do you have to do when your measurement system has repeatability error or your data consists of buyers? These kinds of precautions and provisions are there to avoid this type of error. because the repeatability, reproducibility, and type of parameters play an important role in measurement system analysis. You also need to have an understanding of gauge ana study, what it is and how to perform it on variable data and on attribute data. What is the end result? What is the difference between 'cross design and estate design? What is the acceptance criteria for your system? Because if you have a percentage that is 15% variation in your measurement system, then that acceptance criteria will tell you whether your system is acceptable or not. And also, what does it mean by "signal averaging" when it is needed? And what are the different ways to reduce the measurement error in your system? And also, in the case of attribute arrangement analysis, what does thatkappa value mean? k equal to one means what? K equal to zero means what? So, if you have a proper understanding of these concepts, then you can easily answer questions on this topic. And also, if it is possible, try to perform measurement system analysis on mini tape software and analyse the result on your own or with the help of some black belt person. So that will clarify your concepts. And also you will better understand how to interpret the graphs of gays that aren'tstudied and the measurement system analysis. So in this way, we cover our discussion on measurement systems.

4. Process capability analysis

Welcome back to the four sessions on the major phase. We will discuss process capability analysis here, which is an important question to ask before making any improvement decisions, because you must first identify the current performance of your process, whether it is capable of meeting customer requirements or not, and then try to optimise the performance of your process for the future. As a result, the questions on process capability analysis are based on the interpretation of graphs or the calculation of these capability indices. So you may have a clear understanding of the purpose of capability analysis. How to perform capability analysis on variable data and on attribute data. How to interpret the results What are the different capability indexes? CPC and PPK. When to use them How to calculate them manually What is the baseline performance of the process? What stability means and how to assess the stability of data before capability analysis, and when your process is not capable, then which are the different problem-solving ways available to optimise the performance of the process? So you have a clear understanding of these types of concepts and, at last, the interpretation of the process capability result. So, for that, you must perform capability analysis on various types of software and then attempt to interpret the results of capability analysis on your own or with the assistance of a black belt person, which will clarify your understanding of capability analysis and provide you with a good idea and conceptual clarity, as well as answer a variety of questions about capability analysis. So in this way, you need to prepare for capability analysis.

5. sum up measure phase

Hey, welcome back. Now we are ready to cover our discussion on the major phase. So for preparation of measurement, system analysis, and capability analysis, you need to first understand the theoretical concepts and then go for many software, understanding the interpretation of results there. So you should go through the ICBmanual and study about the major phase, understand the concepts, and then come back to this course and practise the 50 major phase questions. Analyse yourself. So that will prepare you for the major phase. Just keep the measurement system analysis and persist capability analysis in mind. The concepts are sometimes complex to understand. So it is better to practise these concepts on MiniTapp software. So that will clarify your concepts and you will get the software on a free trial basis on the internet. You need to download the setup and install that software on your laptop for a one-month trial period and practise these different types of systemic concepts and software to improve your understanding of this complex concept. So in this way, we'll end up our discussion on the major phase and, from narrationonwards, we will talk about the analysis phase. Thank you.

Discussion on analyze phase

1. Multi vari chart analysis and classes of distributions

Hello and welcome back to the first session on the analysed phase. At a defined phase, you will study the process mapping tools. And in the major phase, you will study how to identify the vital few input variables that have the greatest impact on the output variables with the hip hop tools like XR Diagram and failure mode effect analysis. Now, at analysis space, you need to disassemble the data that you collected and try to analyse what it actually tells you. So, it is a very interesting part to study. This analysis consists of topics like pattern of variation, where we studied multivariatechart analysis and classes of distribution. There are inferential statistics. We study the basics of influential statistics and the Center Limit Theorem. The last hypothesis is based on normal data, nonnormal data, and attribute data. So, when we talk about multivariate chartanalysis at greenbelt level, you need to have an idea about the primary source of variation. What do positional, cyclical, and temporal variation mean; how do multivariate chart analysis on metaphor; and how do you interpret the results? What is the purpose of multivariachart analysis? Go through all these concepts. And when we talk about infrastructure statistics, you need to have an understanding of what the difference between practical and statistical significance is. What is the actual difference between infinite and descriptive statistics? What is the meaning of the centrallimit theorem? What does it provide you? What is the appropriate sample size to reduce the standard error in your data? So, be aware of these concepts. Also, when it comes to distribution classes, we know that there are two types: normal distribution and non-normal distribution. You are already aware of the concept of normaldistribution at a major phase. What are the reasons for nonnormality? Why does your data become nonnormal? What does it mean by skew distribution? What does it mean by positive and negative skew? How to represent skew distribution? What are the reasons why your data becomes skewed? Similarly, what is MEAN? The laptopritic and plateaucratic indicate how you should represent them. What are the causes of your data becoming courtesy, your distribution becoming courtesy? What is the meaning of multiple modes and what are the causes of your distribution showing multiple modes? What is the meaning of granularity? What are the causes that your data is unable to find out whether your distribution is normal or not normal in the case of granular data? So be aware of these concepts. So, after clarity about these concepts, we will definitely answer the questions on this topic. So in this way, we cover a discussion of multivariate charts and classes of distribution. Thank you.

2. Hypothesis test on Normal and Non-normal data

Welcome back to the second session on analysed wave.Here we will talk about hypothesis test performance on normal and non-normal types of data. So to prepare for this section, you need to have an understanding of the purpose of hypothesisresist How to define the hypothetical situation What do the terms null and alternate hypothesis mean? What is the difference between a type one and type two error? How to solve a sample size for hypothesis testing? What is the meaning of the level of significance and power of the test with a sample size of effecton alpha orbiter type of risk or not? So go through all these basics and once your preparation for basics is done, then understand the difference between parametric and non-parametric tests. What are the different types of hypothesis tests required to conduct on-normal types of data? What is their application? When should you use the PRT test on a single sample to test anovertest? be aware of this How to calculate the statistical value for each type of hypothesis test and how to calculate critical value with the help of ztable t tablef table go through all these concepts and Perform a hypothesis test on Minitab software to validate the result, determining whether our null hypothesis is rejected or not. I understand the steps to follow this hypothesis testing on minute software In a similar way, understand the types of hypersis tests performed on non-normal types of data and their application. How to calculate their statistical value Try running these hyperlinks tests for non-normal data on small apps and interpreting the results to figure out which tests can be used for non-normal data. As a result, you must prepare for this section in this manner. Thanks.

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