Submit your presentation based on the following prompts.Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes) Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides) Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide) Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides) Explain the two types of process variation—common cause and special cause. (2 slides) Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes) Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides) For each type of process variation, describe the implications for management action. (2 slides) In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)

Based on the class sample, you will create a 95% confidence interval for the mean age and the proportion of males in the population of all online college students.Note: The goal of the project is to practice making a confidence interval for a mean and proportion with real data. Do not worry about failed assumptions tests and do not make corrections for small sample size. Use primary methods described in text and used on homework.Using the same excel sheet as last week, answer the following in the “week 5” tab:For the average age, form a 95% confidence interval:What distribution should be used?What is the critical value?What is the error bound?What is the lower bound?What is the upper bound?How do we interpret the results, in context of our study?For the proportion of males, form a 95% confidence interval:What distribution should be used?What is the critical value?What is the error bound?What is the lower bound?What is the upper bound?How do we interpret the results, in context of our study?