JMP SAS QuizBy Viet Huynh / April 24, 2021 April 24, 2021 17 Created on April 24, 2021 JMP SAS Quiz This test will check your knowledge on JMP SAS. There is maximum 75 minutes for the test. 1 / 60 You are on a team that is trying to solve the following problem: The average on-time delivery rate for products in the midsize product line, over the previous six months, is 72%. Out of the following goal statements, which is the best? 1) Improve the on-time delivery rate for midsize products from 72% to 95%. 2) Improve the on-time delivery rate for midsize products from 72% to 95% by March 2020 (six months). 3) Improve the on-time delivery rate for midsize products by identifying a new shipping company. 4) Improve mid-size products from 72% to 95% by March 2020 (six months). 5) Improve the on-time delivery rate for midsize products to 95% by March 2020. 2 / 60 Which of the following is not part of a goal statement? 1) the time frame 2) the characteristic (the KPI) 3) the desired (future) state 4) the current state 5) the solution 3 / 60 Which of the following is not a general step in most problem-solving approaches? 1) Define the problem. 2) Take steps to ensure that the improvements are sustained. 3) Identify, analyze, and confirm root causes. 4) Identify, evaluate, and implement solutions. 5) Find someone to blame for the problem. 4 / 60 You are studying the variation in coating thickness after a chemical vapor deposition process. You measure the coating thickness for 20 parts, in nanometers. What type of data is coating thickness? (Note that in JMP this is referred to as the modeling type.) 1) continuous 2) ordinal 3) nominal 5 / 60 A critical to quality characteristic (CTQ) is part weight. Your customer has very tight specifications, and you receive a complaint that there is too much batch-to-batch variation in part weight. Parts are produced in batches of 100. You measure five random parts out of every batch produced over a one-week period. At the end of the week, you have collected data from 82 batches. You use these data to study the batch-to-batch variation in part weight.Which data collection strategy is this? 1) observational 2) experimental 3) retrospective 6 / 60 Which of the following is not a brainstorming ground rule? 1) Criticize and evaluate ideas. 2) Build on ideas. 3) Welcome exaggeration. 4) Record all ideas. 5) Emphasize quantity over quality. 7 / 60 What is the purpose of a problem statement? 1) to lay out the steps that the team will take to solve the problem 2) to clearly define potential solutions for the problem 3) to make sure that everyone has the same understanding of the problem 4) to identify the team members who will be working on the problem 5) to list the potential causes of the problem that the team will solve 8 / 60 What does SIPOC stand for? 1) Suppliers, Inputs, Process, Outputs, Customers 2) Strategy, Information, Procedure, Outcomes, Customers 3) Systems, Inputs, Problems, Outputs, Containment 4) Sources, Inputs, Procedures, Outputs, Customers 9 / 60 Which of the following tools would you use if you want to develop an understanding of the process? 1) brainstorming 2) multi-voting 3) SIPOC map 4) affinity diagram 5) cause and effect diagram 10 / 60 You are trying to list potential root causes of a problem. Which tool should you use? (Select the best answer) 1) multi-voting 2) cause-and-effect diagram 3) cause-and-effect matrix 4) input/output map 5) affinity diagram 11 / 60 You have a two-level nominal variable, Outcome, and a four-level nominal variable, Method. Which graph should you use to visualize the relationship between Outcome and Method? 1) comparative box plot 2) bubble plot 3) mosaic plot 4) scatterplot 12 / 60 You have production data for two years in a table with a code for the product name. Another table has the product description and the code for the product name. What should you do to add the product descriptions to the production data? 1) Concatenate the two tables. 2) Stack the data. 3) Transpose the data. 4) Join the two tables. 13 / 60 Match the value to the symbol σ Select an answer1) population standard deviation2) population variance3) sample standard deviation4) population mean 14 / 60 Match the value to the symbol \sigma ^{2} Select an answer1) population mean2) population variance3) sample standard deviation4) population mean 15 / 60 Match the value to the symbol μ Select an answer1) sample standard deviation2) population variance3) population standard deviation4) population mean 16 / 60 What do you learn from this graph? 1) Every year, the revenues in the fourth quarter are the highest. 2) The overall revenue from 2006 to 2019 has not changed. 3) For any given year, the second quarter has the lowest revenue. 4) The revenue has steadily increased from one year to the next. 17 / 60 Which of the following is a best practice for customizing visualizations? 1) Use exploding pie charts and 3-D bar charts to help tell your story. 2) Use clip art and special fonts to make the graph look more professional. 3) Use legends and change the markers to better communicate your message. 4) Always use the default graph settings provided by the software. 18 / 60 What is the definition of the sample variance? 1) the difference between the largest and the smallest value 2) the average squared difference between each observation and the mean 3) the spread of the middle 50% of the observations in a data set 4) a measure of the average distance between each observation and the mean 19 / 60 Match the description of the distribution shape to the correct graph. Select an answer1) left-skewed2) right-skewed3) bi-modal4) normal 20 / 60 Match the description of the distribution shape to the correct graph. Select an answer1) left-skewed2) right-skewed3) bi-modal4) normal 21 / 60 Match the description of the distribution shape to the correct graph. Select an answer1) left-skewed2) right-skewed3) bi-modal4) normal 22 / 60 Match the description of the distribution shape to the correct graph. 1) left-skewed 2) right-skewed 3) bi-modal 4) normal 23 / 60 You are studying shrinkage for extruded parts using two methods run at three temperatures. Lower shrinkage is better. What do you learn from this 1) Temperature 3 has the highest shrinkage, and temperature 1 has the lowest. 2) The shrinkage for the two methods is the same. 3) The shrinkage for the three temperatures is the same. 4) The shrinkage for each method depends on the temperature. 24 / 60 You are studying the variation in parts produced using different machines. You collect data for 100 parts. The variables are Machine Number and Part Size. Which modeling types are correct for these two variables? 1) Machine Number is continuous and Part Size is continuous. 2) Machine Number is ordinal and Part Size is nominal. 3) Machine Number is nominal and Part Size is continuous. 4) Machine Number is continuous and Part Size is ordinal. 25 / 60 An analyst has determined that a distribution is right skewed. Which kind of graph would tell this story? 1) scatterplot 2) bar chart 3) histogram 4) Pareto plot 26 / 60 Use the control chart shown below to answer this question. This process can be best described as which of the following? 1) in control 2) stable 3) unstable 4) capable 27 / 60 An MSA was conducted with three operators and five parts. Each operator measured each part four times. Based on the output shown, what can you conclude? 1) The measurement system is unbiased. 2) Repeatability is the largest source of variation. 3) Bob is the best operator. 4) There is no reproducibility variation. 28 / 60 Which statistic is referred to as the potential process capability? 1) P_{pk} 2) C_{p} 3) C_{pk} 4) C_{pm} 29 / 60 In a measurement system study, four measurement instruments are studied. Eight parts spanning the range of possible measurements were measured twice with each of the four instruments. The results are shown using the Average and Range chart below. Which of the following statements is true? 1) For a given part, all four instruments are producing the same measurement on average. 2) Instrument 3 is biased. 3) The measurement system is capable. 4) Instrument 2 is incapable of detecting the difference between the parts. 30 / 60 Which of the following statements about a stable process is true? 1) A stable process is predictable. 2) A stable process meets customer expectations. 3) A stable process has an acceptable amount of variation. 4) A stable process represents the voice of the customer. 31 / 60 Which situation would indicate that the process is centered within the spec limits? 1) Cpk is greater than Cp. 2) Cpk is negative. 3) Cp is equal to Cpk. 4) Cp is greater than Cpk. 32 / 60 How are the control limits on an individuals chart calculated? 1) using an estimate of the overall standard deviation of all the data 2) using an interval of +/-2 standard deviations from the mean 3) using an estimate of the standard deviation from the moving ranges 4) using the customer specification limits 33 / 60 In a capability study, C_{pk} is 1.0 and C_{p} is 1.3. Which of the following statements is true? 1) The spec limits are narrower than the process spread. 2) The spec limits are wider than the process spread. 3) The process is centered on the target. 4) The process is stable. 34 / 60 What are five characteristics that can be studied in a measurement system study? 1) linearity, capability, bias, repeatability, and reproducibility 2) repeatability, stability, reproducibility, homogeneity, and bias 3) reproducibility, bias, gauge, linearity, and repeatability 4) bias, reproducibility, linearity, stability, and repeatability 35 / 60 A capability study was conducted for six variables. Use the goal plot below to answer this question. Which of the following statements is true? 1) X5 is off target and has too much variation relative to the specs. 2) X4 is on target but does not have a lot of variation relative to the specs. 3) X8 is off target and does not have a lot of variation relative to the specs. 4) X1 is on target but has too much variation relative to the specs. 36 / 60 You have the following tolerance interval. What is the correct interpretation of this interval? 1) You are 95% certain that the probability is 0.90 that your mean is between 1.14 and 3.03. 2) You are 90% certain that at least 95% of the population values will fall between 1.14 and 3.03. 3) You are 95% certain that at least 90% of the population values will fall between 1.14 and 3.03. 4) You are 90% certain that 95% of your sample values will fall between 1.14 and 3.03. 37 / 60 In an election poll, 48% of likely voters are in favor of Candidate A, and 52% are in favor of Candidate B. The margin of error for each candidate is +/- 3%, and the confidence level is 95%. Which of the following statements is true? 1) The probability that 52% of the population votes for Candidate B is 95%. 2) In the election, 48% of likely voters will vote for Candidate A, and 52% will vote for Candidate B. 3) With 95% confidence, the true proportion of likely voters who support Candidate B is between 0.49 and 0.55. 4) Candidate B will win the election by a margin of 3%. 38 / 60 The target for a process is 30 mm. You replaced a vital piece of equipment and must ensure that the process is still on target. If the process mean is within 1 mm of the target, the process performance is considered acceptable. Which statistical test would you conduct to determine whether the performance is acceptable? 1) one-sample t test 2) two-sample t test 3) equivalence test 4) paired t test 39 / 60 You are studying the viscosity of a polymer. You collect viscosity measurements on a random sample of 30 batches. You want to predict the viscosity for the next 5 batches produced. Which statistical method would you use? 1) You would calculate a confidence interval. 2) You would calculate a prediction interval. 3) You would perform a one-sample t test. 4) You would calculate a tolerance interval. 40 / 60 The target etch rate for a wet etching process is 10 mils/min. You measure a random sample of 20 wafers and conduct a hypothesis test to determine whether the process is off target. You use a significance level of 0.05. What can you conclude from the following output? 1) The two-tailed test is significant, with a p-value of 0.0346, so the process is off target. 2) There is not enough information to make a decision about whether the process is off target. 3) The mean is 9.92 and the standard deviation is 0.148, so the process is off target. 4) The 95% confidence interval for the mean includes 10, so the process is on target. 41 / 60 You are studying the breaking strength of two types of plastic. You will use the plastic with the highest breaking strength. A difference of 5 psi (pounds per square inch) or more would be considered important for your application. You analyze the sample size required to detect this difference, using a power of 0.9, an estimated standard deviation of 10, and a significance level of 0.05. Using the output provided below, which of the following statements is true? 1) As the sample size increases, the power of the test decreases. 2) If you increase the difference that you need to detect from 5 psi to 10 psi, you will need more data to detect this difference. 3) If you increase power from 0.9 to 0.95, you will need less data in order to detect a difference of 5 psi. 4) As the sample size increases, the power of the test increases. 42 / 60 You want to conduct a test to determine whether there are significant differences in the mean impurity levels for polymers produced with three different catalysts. Which statistical test is appropriate for this scenario? 1) two-sample t test 2) one-sample t test 3) one-way ANOVA 4) paired t test 43 / 60 You conduct a test to determine whether there is a significant difference in the mean melt flow index (MFI) for three quarries. Using a significance level of 0.05, what can you conclude from this analysis? 1) The average MFI for Kuanga B is significantly lower than the average MFI for Kuanga A. 2) There are significant differences in the average MFI for the three quarries. 3) There are no significant differences in the average MFI for the three quarries. 4) The average MFI for the three quarries is the same. 44 / 60 You want to compare the etch rate for wafers produced using two different etching methods. For each method, the etch rate for 15 wafers is measured. You conduct a two-sample t test to determine whether there is a significant difference in the average etch rate for the two methods. You use a significance level of 0.05. Based on these results, which of the following statements is true? 1) The difference between the means for the two methods is statistically significant. 2) The mean for Method 1 is 0.0647 units lower than the mean for Method 2. 3) The difference between the means for the two methods is not statistically significant. 4) This is the incorrect analysis. A paired t test should have been conducted instead. 45 / 60 The Summary of Fit table, ANOVA table, and residual-by-predicted plot for a multiple linear regression model are shown. What can you conclude about this model? 1) The model explains more than 90% of the variation in the response. 2) The model explains less than 10% of the variation in the response. 3) There is no obvious non-random pattern in the residual plot. 4) The model explains a significant amount of variation in the response. 46 / 60 The confusion matrix for a logistic regression model is shown. What is the error rate? 1) 4.2% 2) 22% 3) 2.1% 4) 6.0% 5) 6.3% 47 / 60 You fit a simple linear regression model for a response, Thickness, as a function of one predictor, Speed. Using the Parameter Estimates table, what is the estimated regression equation? 1) \widehat{Speed} = 7.12 + 3.49*Thickness 2) \widehat{Thickness} = 7.12 + 2.807*Speed 3) \widehat{Speed} = 2.807 + 7.12*Thickness 4) \widehat{Thickness} = 2.807 + 0.365*Speed 5) \widehat{Thickness} = 2.807 + 7.12*Speed 48 / 60 What is the range of possible values for the correlation coefficient? 1) -infinity to infinity 2) 0 to 100% 3) -2 to +2 4) -1 to 1 5) 0 to 1 49 / 60 You fit a simple logistic model for Outcome (Good or Defective) as a function of belt speed. You model the probability that Outcome = Defective. The logistic curve for the model and the Parameter Estimates table are shown. Which of the following are correct? 1) As the value of belt speed increases, the probability of Defective increases. 2) There is no relationship between belt speed and the probability of Defective. 3) As the value of belt speed increases, the probability of Good increases. 4) Belt speed is not a significant predictor of Outcome. 50 / 60 You fit a multiple linear regression model for Strength as a function of Speed, Material, Temp, and all possible two-way interactions. You use variable selection to reduce the model to only the significant terms. Using a p-value cutoff (or significance level) of 0.05, which terms are candidates for removal? 1) Material, Temp, and Material*Temp 2) Material*Temp, Speed*Temp, and Temp 3) Temp and Material 4) Speed, Material, and Material*Speed 5) Speed and Material 51 / 60 The graph below shows the historical data of the annual death rate by firearms (per 100000) versus the annual average treasury securities interest rate (for one-year constant maturity). What can you conclude from this analysis? 1) Higher interest rates correspond to higher death rates by firearm. 2) The correlation between the two variables is negative. 3) Raising interest rates causes more firearm deaths. 4) An increase in firearm deaths causes higher taxes. 52 / 60 You are trying to understand the potential causes of a serious manufacturing defect. You compile historical data and use logistic regression to model the probability of the outcome, Defective?, as a function of many variables and their interactions. The whole model test results for this analysis are displayed below. What are the potential conclusions from this output? 1) More than 30% of the observations are misclassified by the model. 2) None of the variables in the model, or their interactions, are significant. 3) The whole logistic model is not significant. 4) 43.75% of the variation in Defective? is explained by the model. 53 / 60 A 2^{4} full factorial experiment has how many treatments? 1) 4 2) 8 3) 16 4) 32 54 / 60 How many runs are in an unreplicated 2^{6-2} fractional factorial experiment? 1) 6 2) 8 3) 16 4) 32 55 / 60 What do you learn from this interaction plot? 1) There are interactions between all of the factors. 2) There is an interaction between Factor A and Factor C. 3) There is an interaction between Factor B and Factor C. 4) There are no interactions between any of the factors. 56 / 60 You will conduct a designed experiment to study root causes of a serious manufacturing defect. Which of the following statements is true? 1) You should start with a large experiment with many runs and many factors to learn as much as you can in one experiment. 2) If possible, you should try to find one or more continuous response variables that characterize the defect. 3) You should experiment with one factor at a time until you find the root cause. 4) You shouldn’t spend too much time researching the problem or planning the experiment. You should trust your instincts and conduct the experiment as quickly as possible. 57 / 60 Which of the following best describes this experimental design? 1) a replicated 2x2x2 full factorial design 2) an unreplicated 2^{4} full factorial design 3) a response surface design with three factors 4) a replicated 2^{4} - 1 fractional factorial design 58 / 60 A response surface experiment with five continuous factors is conducted. The experimental objective is to optimize Thickness. What do you learn from this prediction profiler? 1) The response goal is to maximize Thickness. 2) There are no quadratic terms in the model. 3) The response goal is to match a target of 70. 4) The high value of Temp is optimal for achieving the response goal. 59 / 60 You conduct an experiment to study three factors: Bath Time, % Solution, and Rinse Time. You fit a model with main effects and two-way interactions. Based on the output below, which of the following statements is true? Use a significance level of 0.05. 1) The interaction between % Solution and Rinse Time is not significant. 2) The model, as a whole, is not significant. 3) The interaction between Bath Time and Rinse Time is significant. 4) Bath Time and the % Solution*Rinse Time interaction explain most of the variation in the response. 60 / 60 Consider the following 2x2x3 full factorial design. Which of the following statements is true? 1) Some of the treatments are replicated. 2) The treatments have been randomized. 3) You can estimate quadratic effects with this design. 4) Material is a three-level continuous factor. Your score is The average score is 32% LinkedIn Facebook Twitter VKontakte 0% Restart quiz Chia sẻ bài viết

Viet Huynh April 25, 2021 at 3:44 pm Dear All, Even the test is free, we will still support any issue on daily basis. If you got any problem with the test, please leave a message in this comment section. We will try to help you as soon as possible. Reply

Viet HuynhDear All,

Even the test is free, we will still support any issue on daily basis.

If you got any problem with the test, please leave a message in this comment section. We will try to help you as soon as possible.