1. Process mapping is a critical part of the Define and Measure phases of continuous improvement projects? Explain the reason Process mapping is the graphical picture of how things are completed with illustrative representations. It allows members to carefully imagine the subtleties of the process intently and dynamically guides. It reveals who and what is involved in a process and can be used in any corporation or organization, and it can expose areas for enhancing a process. The essential qualities and deficiencies in the present phase can be differentiated to the point that individual measures' engagement is viewed. It also helps to reduce process lengths and imperfections and to increase its performance. The process map's key segments include the sources of information, outputs, and means in the process. A proper process guide should define the work progress and ties to the association. It should use normal language that everyone understands. A great process guide should include legitimate information on different forms, alternatives and revision circles. Process mapping helps to understand the main characteristics of a process to generate useful knowledge to solve the problems. 2. The use of statistics and probability are critical to continuous improvement projects. Explain the role they have in continuous improvement projects? The use of factual instruments to understand the process of Lean Six Sigma (LSS) frequently opposes the methodology. Normally this challenge stems from the fact that insights aren't common for the managers or new LSS practitioners. The following rapidly discusses the use in process improvement programmers of measurements. In particular, we need to consider what a calculation is and what it is not. We quest for the facts in the field of arithmetic. We establish the hypothesis and check that the relationship is valid and consistently works in a predictable and established technique. We have equity reasons. In numerical conditions, the structure F=MA or e=MC2 can be clarified and, once again, the measurements are assumed. We dissect our data to see just how big our assumption is at that point. ----------------------------------------------------------------------------------------------------------- 1.Process mapping is a critical part of the Define and Measure phases of continuous improvement projects? Explain the reason. According to our textbook “Process mapping is often the first step in improving a process. Risk analysis tools such as process failure mode and effects analysis (PFMEA) start with process mapping” (Munro, Zrymiak, & Ramu, 2015, p. 154). Process mapping encompasses management and planning tools used to visualize and describe the working flow of the system. Process map additionally includes a series of events that take place to produce the end result. Process mapping is critical to define and measure phases of continuous improvement projects due to the following reasons: It provides visual information towards aspects of the problem and the process, eventually leading to possible solutions. The utilization of graphs, charts, images as visual aids makes data analysis and decisions towards process improvements easier. The improvements made can be tracked easily using process maps as the visual illustration makes auditing and understanding different aspects of the process easier. Process mapping facilitates improvements as areas of changes, capacity constraints, etc. can be easily pinpointed and worked on. As mentioned in an article “The process map is a tool that graphically shows the inputs, actions and outputs of a process in a clear, step-by-step map of the process” (PV, 2021). Therefore, Process Mapping is used as a tool for streamlining the process and for improving efficiency. 2.The use of statistics and probability are critical to continuous improvement projects. Explain the role they have in continuous improvement projects? An organization that prioritizes quality always strives for continuous improvement. The use of statistics and probability is integral to continuous improvement projects as project analysis leads to the identification of the capability of the process. As mentioned in an article “With probability, statements are made about the chances that certain outcomes will occur, based on an assumed model. With statistics, observed data is used to determine a model that describes this data” ( Stroud, 2012). Statistics and probability are studied together and intertwined and are together used to make decisions. Statistical evaluation is an essential tool in data improvement as it helps make informed, improved investigative decisions with limited data. Most project improvement studies are based on sample data where Probability Distribution utilizes sample data to make predictions and conclusions. Probability distribution utilizes real-life events with uncertain outcomes where inferences and predictions can be made after the appropriate model is identified.