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Six Sigma ICGB Practice Test Questions, Exam Dumps

Six Sigma ICGB IASSC Certified Lean Six Sigma Green Belt exam dumps vce, practice test questions, study guide & video training course to study and pass quickly and easily. Six Sigma ICGB IASSC Certified Lean Six Sigma Green Belt exam dumps & practice test questions and answers. You need avanset vce exam simulator in order to study the Six Sigma ICGB certification exam dumps & Six Sigma ICGB practice test questions in vce format.

Discussion on analyze phase

1. Multi vari chart analysis and classes of distributions

Hello and welcome back to the first session of the analysed phase. At a defined phase, you will study the process mapping tools. And at major phase you will study about howto identify the vital few input variables which themost impact on output variable with the hip hoptools like Xfo diagram and failure modifact analysis. Now, at analysis, 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. And this analysis phase consists of topics like a pattern of variation, where we will study about multi-chart analysis, classes of distribution, and inference statistics. You will study the basics of influence statistics and the Center Limit Theorem. And at last hypothesis tests onnonnormal data and on attribute data. So, when we talk about multivariate chart analysis at the green belt level, you need to have an idea about the primary types of variation. What does positional cyclical and temporal variation mean, how does multivariate analysis on minute app software work, and how do you interpret the results? What is the purpose of multivariate chart analysis? Go through all these concepts. And when we talk about inferential statistics, youneed to have understanding about what is thedifference between practical and statistical significance. What is the actual difference between inferential and descriptive statistics? What is the actual meaning of the central limit theorem? What does it provide to you? What is the appropriate sample size to reduce the standard error in your data? So, be aware of these concepts. And also, when we talk about the classes of distribution, there are, as we know, two types: normal distribution and non-normal distribution. You already know about the concept of normal distribution. At the major phase, see what the reasons are for non-normality, or why your data becomes non normal.What do you mean by skew distribution? What does it mean by "positive" and "negative" skew? How to Draw a Skewed Distribution What are the reasons why your data becomes skewed? Similarly, what does "Curtis" mean—what is actually happening on the left, and Plato critic tells you how to represent it? What are the factors that cause your data to become courtesy and your distribution to become courtesy? What is the meaning of multiple modes? And what are the causes for your data distribution showing multiple modes? What is the meaning of granularity? What are its causes that your data is unableto find out whether your distribution is normal ornot normal in case of granular data. So be aware of these concepts. So, after gaining clarity about these concepts, we will definitely answer the questions on this topic. So in this way, we cover our discussion on multivariate charts and classes of distribution. Thank you

2. Hypothesis test on Normal and Non-normal data

Hello and welcome back to the second session on the analyse phase. Here we will talk about how hypothesis tests perform on normal and nonnormal types of data. So to prepare for this section, you need to have an understanding of the purpose of a hypothesis test. How do I define the hypothetical condition? What is the meaning of the null and alternate hypotheses? What is the difference between a Type I and Type II error? How does the sample size for hypothesis testing work? What does it mean by "level of significance" and "power of the test"? Whether or not sample size has an effect on alpha or beta risk, go over all of the basics, and once you're done with the basics, understand the difference between parametric and nonparametric tests. Which are the different types of hypothesis tests required to be conducted on a normal type of data? What are their application when to use PRT test onesample to test an overtest Be aware of this How to Calculate the Statistical Value for Each Type of hypothesistest also how to calculate critical value using Z table Table of Contents go through all these concepts and how to perform hypothesis testing on Minotap software to validate the result, whether our null hypothesis is rejected or we fail to reject the null hypothesis. Understand the steps to follow to test this hypothesis on many types of people. Go through all these concepts and, in a similar way, understand the types of hyperbolic tests performed on non-normal types of data, their application, how to calculate their statistics value, how to find out the critical value with the help of tables, and also try to perform these hypothesis tests for non-normal data on a minute tab and interfere with their results. Determine which tests or alternative uses exist for non-standard types of data. Be aware about these all concepts. So in this way, you need to prepare for this section. Thank you

3. Hypothesis test on Attribute data

Hello and welcome back to the third session on the analyse phase. Here we will talk about hypothesis test performance attribute data. Generally, attribute data is considered a nonnormal type of data, but there are different hypothesis tests required for attributed data to analyse its results. So be aware of the one-sample proportion and two-sample proportion tests, how to calculate the statistic value for this test, and also how to use tables for critical value calculation. These tests perform well on many tables, but the main focus is given to the contingency test because the contingency test is used when you have more than two proportions in your example, like in an annoyance test. So, what is the purpose of this continuous test, how do you perform it on minute software, how do you manually calculate the statistic value and the critical value using the continuous table? So be aware of these concepts and try to solve one example, which is provided in the ICGP manual. Go through that example and try to solve that example on your own; that will improve your understanding. See, questions are not asked on a manual calculation basis, but at the greenbay level, you need to have an idea about how to calculate the statistic value of each hypothesis test manually and interpret the result on the basis of that. So in this way, we cover our discussion on attribute data hypotheses. Thank you.

4. Sum up Analyze phase

Welcome back. We have already finished our discussion of analysed space. So from the exam point of view, once again you go to the ICGB manual, read the analysis page from that manual, and then practise the 50 questions on the analyse phase. Analyze yourself whether your preparation foranalyzed phase is complete or not. Again one thing, keep in your mind thatduring your preparation of analysed phase, you needto have proper understanding about the use ofctable t table, contingency table and your table. because your exam includes a reference document This is from ISS, and this document carrying all the information related to these tables means there are chances that questions asked on these tables will require you to calculate the critical value for your hypothesis test and then interpret the result. These types of questions are also asked in your exam. So what you have to do is first perform the hypothesis test on mini-type software and then calculate the statistic value manually. And then also calculate that statistic's value with the help of these tables critical value.We need to calculate and then compare these values and interpret your results, whether your null hypothesis is rejected or you fail to reject your null hypothesis. So prepare in such a way for this analysis phase because hypothesis tests require manual calculation and mini-TAP software interpretation also.So you need to understand both of these concepts. So in this way we willcomplete our discussion on analysis. Thank you.

Discussion on measure phase

1. Process discovery

Hey, welcome to the first session on the Major page. A major phase is the data collection phase of your Six Sigma project, where you have to collect the data and check whether it is accurate or precise. As most time measurement systems are accurate but not precise, And also you have to take care of thecapability of your process whether your process is capableor not to meeting the customer requirements. So these are the important themes of ameasure phase required during your Six Sigma projectand from your example point of view. This measurement phase is divided into four sections: discovery, statistics basics, measurement, system analysis, and process capability analysis. In the coming lecture we will discuss each of these sections, but here we will totally discuss the process of discovery. This part of your major page is totally about the mapping of processes. So, in order to prepare for this section, you must first learn about the process requirements. While there is a need for process, what is the difference between a value stream map, a linear map, and a swim lane map, which are the different flowcharting swim balls and their applications? What is the meaning of a high-level process map, a micro-level process map, and the difference between a team-based and individual approach to your mapping of processes? Their advantages and disadvantages, and why an individual approach is superior to a team-based approach at the time of mapping your process, To go through all of these concepts, the most important task of your major phase after data collection is to select the critical few input variables from travel, i.e. those with the greatest impact on your process output. So there are three tools used for this particular activity: the cause-and-effect diagram, failure mode, effect analysis, and XY diagram. The questions asked on these tools are totally application based.So you have to study the concept and application of each of these tools, like how to apply a cause and effect diagram. When your problem is product based orwhen your problem is service based, whatis the meaning of Fiber analysis? Which brainstorming technique is a team-based prioritisation tool? Out of these three tools, what is the meaning of risk priority number? What does it indicate? What is the difference between controllable, procedural, and noncontrollable inputs? How it is important at the timeof selection, collecting vital few input variables. So in this way, you have to study for this particular section. This is all about process discovery.

2. Basics of statistics

Welcome back to the second session. major page. Here we will talk about the basics of SixSigma statistics and the statistically most important part of the SixSigma project because it provides tools and techniques to convert the data that we collected into information. And that information helps us take the right decision for process optimization. So you need to have a clear understanding of the concepts of statistics and its notation, and also what is the difference between inferential and descriptive statistics, what are the types of sampling, how to collect samples for your project, what are the different types of data, what are the different types of scale data, and how to represent the centre location of nominal ordinal ratio and interval scale data. Then explain what you mean by the measure of central tendency, what the mean median mode actually represents, how to calculate it, what the measure of dispersion represents, and how to calculate the interval, range, variation, variance, standard deviation, and range. And also, you need to have an understanding of the concept of normal distribution, what a z-score indicates, how to represent normal distribution, what that empirical row shows about our process performance, what that P-value indicates, what it actually represents, how this normality of data is assessed, what are the different ways to assess the normality of data, and on which factor it depends? So if you have clarity about these concepts, then you can easily answer the questions on this topic. Then we will talk about the graphical analysis. So, graphical tools are important to represent the relationship between input and output variables. They are useful in your Six Sigma project to interpret the data that we collected. So you need to have proper understanding about theapplication of Egraphical tool, when to use box plot,what is the purpose of time series plot, whatactually the histogram represents, what are the use ofdot plot and multivariate chart? So you have a clear idea about the application of these tools. so you can easily select the required tool during your project. So in this way you have toprepare for the Six Sigma Statistics topics.

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