MGT Operations SSGI- LEAN SIX SIGMA – GREEN BELT STUDY GUIDE CHAPTER 13-15 QUIZZES, Exams of Marketing Business-to-business (B2B)

Download MGT Operations SSGI- LEAN SIX SIGMA – GREEN BELT STUDY GUIDE CHAPTER 13-15 QUIZZES and more Exams Marketing Business-to-business (B2B) in PDF only on Docsity! SSGI- LEAN SIX SIGMA – GREEN BELT STUDY GUIDE CHAPTER 13-15 QUIZZES CHAPTER 13 1. The greater is the variation of data around the mean, the smaller will be the standard deviation. False 2. The standard deviation represents the extent of variation in a distribution. True 3. When the standard deviation is large, the spread of the data around a mean is larger than if the standard deviation were small. True 4. Two statistics that define a normal distribution are the and the . mean, standard deviation 5. The mean represents the centralness of a distribution True 6. Many distributions describing natural processes such as IQ (Intelligence Quotient) or height can be classified as normal distributions. True 7. In a normal distribution most of the data items cluster toward the ends or tails of the distribution. False 8. Normal distributions have special properties that specify the percent of observations or data that fall within a specified number of standard deviations from the mean. True 9. Sixty- Eight (assume rounding) percent of the observations or data in a normal distribution fall between the mean and plus or minus one standard deviation from the mean. True 10. Ninety-five percent of the observations in a normal distribution fall above the mean. False 11. Using the special properties of the normal distribution, 99.7 percent of the data in a normal distribution will fall between the mean and plus or minus three standard deviations from the mean. True 12. The data or observations that fall under the normal distribution between plus one and plus two standard deviations from the mean is 13.6 percent. True 13. The percent of the data or observations between minus one standard deviation from the mean and minus three standard deviations from the mean is 60 percent. False 14. The special properties of the normal distribution apply to a distribution whether or not it is normally distributed. False 15. The number of data points or observations beyond plus and minus six standard deviations from the mean would be much less than one percent. True 16. A Z value of ±2 will include percent of the observations under the normal distribution. 95 17. The average wait time at call center is 7 minutes with a standard deviation of 1 minute. A customer has called and has waited 10.5 minutes. What is the Z value? 3.5 18. The Z table tells us that the area under the normal curve to the left of Z value of 1.5 is 0.9332. The area under the normal curve between plus and minus Z=1.5 is . 0.8664 ; 1.000 - 0.9332 = 0.0668. Then subtract this from 0.9332. ). The answer is .9332 - 0.0668 = 0.8664 19. If the Z value is zero, then percent of the area under the curve is less than the mean. 50 20. When the Z Value is +3 which of the following best represents the area under the normal curve to the right of the Z value? Less than 1% 21. The binomial distribution represents discrete processes, those that have more than two possible outcomes. False ; Binomial is for discrete processes with only two outcomes. 22. The probabilities associated with tossing a coin wold be represented by a distribution. Binomial 23. The probability of getting exatly two heads in two tosses of a coin would be called a probability. Binomial 24. The Poisson distribution focuses on the number of discrete occurrences over a defined interval. True 25. If you need to determine the probability that exactly five calls will arrive at the call center between 8 and 9 AM today, what probability distribution could be used to provide the answer. Poisson 26. A t distribution is used to determine probabilities when the sample is small. True 27. A t-Test is used to determine the difference between two samples when the sample sizes are small. True 28. A Chi Square distribution is used to evaluate the difference between counts True 29. Chi Square tests are used when count data is presented in a table. Contingency 30. F distributions are used to compare . Variances units sampled there are a total of three problems found in two of the units. One unit had a single problem and other had two problems. The DPU is . 30 percent ; The total number of problems is 3, so the DPU is 3/10 or 30 percent. 29. Which of the following represents the likelihood that a process will complete all of the required steps without any failures or rejects. RTY 30. If the RTY is 80 percent, the likelihood that a process will suffer a failure or reject is 80 percent. False ; There is an 80 percent likelihood that the unit will be processed without any failures or rejects. 31. The number of good units or pieces produced divided by the number of total units that originally started through the process is measured by the . First Time Yield 32. A Six Sigma designed process should have no defects per Unit. False 33. FTY is the same as DPU False 34. In a chip manufacturing process, 5,000 chips began the process. At the end, only 4,500 pass quality control tests. The FTY would be percent. 90 percent ; 4500/5000 = .90 35. The concept of Six Sigma implies near perfection. True CHAPTER 15 1. If the Upper and Lower Control Limits are set at plus and minus two standard errors of the mean from the process mean and the operational process is considered to be in- control, which of the following would be true? About 95 percent of the results would be expected to fall between the LCL and UCL. 2. The Standard Error of the Mean will exactly equal the Standard Deviation of the population when the sample size is one. True ; when the sample size is one, then the square root of one will be one. 3. Raising the LCL and lowering the UCL, in the absence of any other process changes, can improve the quality of process output. False 4. Since the concept of Six-Sigma relies on sample means to monitor a process, the way in which sample means fall on either side of the process mean or target is defined by the . Distribution of Sample Means 5. The distribution of samples taken from an operational process can best be described by the distribution of sample means. TRUE 6. If the Standard Error of the Mean is 5 what is the likelihood that a sample mean will fall within two standard deviations on either side of the process mean. 95 percent 7. When the size of the sample decreases, the size of the standard error of the mean increases. TRUE 8. If the entire population is sampled, the mean of the sample will exactly equal the mean of population. TRUE 9. The distribution of the sample means will only be normally distributed if the population is normally distributed. FALSE; The Central Limit Theorem states that for sufficiently large sample sizes, the shape of the sampling distribution of the means will be normally distributed. 10. Sample means of the same sample size and taken from the same population should not vary if the process is in-control. FALSE 11. The Standard Error of the Mean is the variation associated with the population. FALSE; It is associated with samples from the population 12. As the sample size increases, the standard error of the mean decreases. TRUE 13. The sampling distribution of the mean, regardless of the shape of the population, will be normal. TRUE ; To be technically correct, this is only true when the size of the sample is not small. But, generally you can assume the answer to this question is true for most samples taken in Six-Sigma environments.