In Output 7.1: Is the (Pearson) chi-square statistically significant? Explain what it means. Are the expected values in at least 80% of the cells ≥ 5? How do you know? Why is this important?
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In Output 7.1:
- Is the (Pearson) chi-square statistically significant? Explain what it means.
- Are the expected values in at least 80% of the cells ≥ 5?
- How do you know? Why is this important?
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- Management Science Study Guide Question The default tolerance in Solver is: A.) 0.1% B.) 0.5% C.) 1% D.) 5%X1=210 X2=3 I need a clear step by step answer please :)The time to deliver packaged containers by a logistics company is found fromsamples of size 4. The mean and standard deviation of delivery times is estimated tobe 140 hours and 6 hours, respectively.(a) Find the 2 sigma and 3 sigma control limits for the average delivery time.(b) Explain a type I and type II error specifically in this context.(c) If the mean delivery time shifts to 145 hours, what is the probability of notdetecting this by the second sample after the shift?(d) What is the ARL? Explain
- Need help calculating the margin of error for the question below. I show n=100, sigma = 1, and 95% prob equls a z score of 1.96 for z_alpha/2. Just having issues calcuating the Margin of Error value. The manager of a grocery store has taken a random sample of 100 customers. The average length of time it took these 100 customers to check out was 3 minutes. It is known that the standard deviation of the population of checkout times is 1 minute. With a 0.95 probability, the sample mean will provide a margin of error of 0.196. If we wanted to cut this margin of error in half, how many customers would we need to include in our sample?All patients admitted to a particular hospital can be released on the same day or kept overnight forobservation. In a sample of 2550 patients, 1020 were kept overnight for observationa) What is the point estimate ?̂for the proportion of all patients kept overnight forobservation? [1]b) Construct a 99% confidence interval for the proportion of all patients kept overnight forobservation.ASQ (The American Society for Quality) Defines a Six Sigma project as: Six Sigma is a method for reducing variation in manufacturing, service, or other business processes. Six Sigma projects measure the cost benefit of improving processes that are producing substandard products or services. Whether in manufacturing or service industries, such projects quantify the effect of process changes on delays or rework. The goal of each successful Six Sigma project is to produce statistically significant improvements in the target process; over time, multiple Six Sigma projects produce virtually defect-free performance. The Six Sigma Black Belt project is one that uses appropriate tools within a Six Sigma approach to produce breakthrough performance and real financial benefit to an operating business or company. The tools are generic. It is the structure of the project and the associated process (improvement model) that distinguish a Black Belt project from other similar quality improvement…
- Vilfredo Pareto was a famous engineer/economist in the 19th and early 20th centuries. He reportedly expressed this 80/20 Rule: 80% of all progress results from 20% of the actions taken. The Pareto Diagram, also called a Juran Diagram, depicts a variant 80/20 Rule: 80% of all production problems come from 20% of the problem areas. a. What kind of statistical chart is the Pareto Diagram? ____ (enter H for histogram, P for probability distribution, T for a Taguchi chart, A for all three of these. N for none of these. b. The value of the Pareto Diagram is its highlighting the areas causing 80% of quality problems. ____ (enter T for true or F for false)South Africa Airways would like to monitor its airline’s performance. Each week for the past 20 weeks, they checked each week a random sample of 100 flight arrivals for “one-time” performance. The table that follows contains the number of flights that did not meet South Africa Airways definition of “one time”: Week Late flights 1 2 2 4 3 10 4 4 5 1 6 1 7 13 8 9 9 11 10 0 11 3 12 4 13 2 14 2 15 8 16 2 17 3 18 7 19 3 20 2 Which control chart is appropriate to analyze the above data? Justify your answerSouth Africa Airways would like to monitor its airline’s performance. Each week for the past 20 weeks, they checked each week a random sample of 100 flight arrivals for “one-time” performance. The table that follows contains the number of flights that did not meet South Africa Airways definition of “one time”: Week Late flights 1 2 2 4 3 10 4 4 5 1 6 1 7 13 8 9 9 11 10 0 11 3 12 4 13 2 14 2 15 8 16 2 17 3 18 7 19 3 20 2 Calculate the upper and lower control limits for this chart.
- Figure shows summer air visibility measurements for Denver, Colorado. The acceptable visibility standard is 100, with readings above 100 indicating clean air and good visibility, and readings below 100 indicating temperature inversions caused by forest fires, volcanic eruptions, or collisions with comets.a. Is a trend evident in the data? Which time-series techniques might be appropriate for estimating the average of these data?b. A medical center for asthma and respiratory diseases located in Denver has great demand for its services when air quality is poor. If you were in charge of developing a short-term (say, 3-day) forecast of visibility, which causal factor(s) would you analyze? In other words, which external factors hold the potential to significantly affect visibility in the short term?c. Tourism, an important factor in Denver’s economy, is affected by the city’s image. Air quality, as measured by visibility, affects the city’s image. If you were responsible for development of…d. Now based on regression analysis predict the number of patients that Dr. Fok will see in year 11 and 12 based on the forecasted Robbery Rate - year 11 is 117.1 and year 12 is 120.8. e. What is the MAD? f. What is the correlation Coefficient – r-value? % g. Based on the overall analysis, how well does each model fit the data?Cost-of-Quality (COQ) Reporting; Spreadsheet Application Carrie Lee, the president of LeeEnterprises, was concerned about the results of her company’s new quality control efforts. “Maybethe emphasis we’ve placed on upgrading our quality control system will pay off in the long run, butit doesn’t seem to be helping us much right now. I thought improved quality would give a real boostto sales, but sales have remained flat at about $10,000,000 for the last 2 years.”Lee Enterprises has seen its market share decline in recent years because of increased foreigncompetition. An intensive effort to strengthen the quality control system was initiated a year ago (onJanuary 1, 2020) in the hope that better quality would strengthen the company’s competitive position and reduce warranty and servicing costs. The following costs (in thousands) relate to qualityand quality control over the last 2 years:[LO 17-5, 17-7]2019 2020Warranty repairs $420 $140Rework labor 140 200Supplies used in testing 4…