JMP SAS Quiz

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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?

2 / 60

Which of the following is not part of a goal statement?

3 / 60

Which of the following is not a general step in most problem-solving approaches?

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.)

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?

6 / 60

Which of the following is not a brainstorming ground rule?

7 / 60

What is the purpose of a problem statement?

8 / 60

What does SIPOC stand for?

9 / 60

Which of the following tools would you use if you want to develop an understanding of the process?

10 / 60

You are trying to list potential root causes of a problem. Which tool should you use? (Select the best answer)

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?

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?

13 / 60

Match the value to the symbol σ

14 / 60

Match the value to the symbol $\sigma ^{2}$

15 / 60

Match the value to the symbol  μ

16 / 60

What do you learn from this graph?

17 / 60

Which of the following is a best practice for customizing visualizations?

18 / 60

What is the definition of the sample variance?

19 / 60

Match the description of the distribution shape to the correct graph.

20 / 60

Match the description of the distribution shape to the correct graph.

21 / 60

Match the description of the distribution shape to the correct graph.

22 / 60

Match the description of the distribution shape to the correct graph.

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

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?

25 / 60

An analyst has determined that a distribution is right skewed. Which kind of graph would tell this story?

26 / 60

Use the control chart shown below to answer this question. This process can be best described as which of the following?

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?

28 / 60

Which statistic is referred to as the potential process capability?

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?

30 / 60

Which of the following statements about a stable process is true?

31 / 60

Which situation would indicate that the process is centered within the spec limits?

32 / 60

How are the control limits on an individuals chart calculated?

33 / 60

In a capability study, Cpk is 1.0 and Cp is 1.3. Which of the following statements is true?

34 / 60

What are five characteristics that can be studied in a measurement system study?

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?

36 / 60

You have the following tolerance interval. What is the correct interpretation of this interval?

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?

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?

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?

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?

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?

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?

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?

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?

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?

46 / 60

The confusion matrix for a logistic regression model is shown. What is the error rate?

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?

48 / 60

What is the range of possible values for the correlation coefficient?

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?

50 / 60

You fit a multiple linear regression model for Strength as a function of SpeedMaterialTemp, 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?

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?

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?

53 / 60

A 24 full factorial experiment has how many treatments?

54 / 60

How many runs are in an unreplicated 26-2 fractional factorial experiment?

55 / 60

What do you learn from this interaction plot?

56 / 60

You will conduct a designed experiment to study root causes of a serious manufacturing defect. Which of the following statements is true?

57 / 60

Which of the following best describes this experimental 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?

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.

60 / 60

Consider the following 2x2x3 full factorial design. Which of the following statements is true?