Six Sigma Tools for Analyze Coursera Quiz Answers

All Weeks Six Sigma Tools for Analyze Coursera Quiz Answers

This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics.

This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process.

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Six Sigma Tools for Analyze Week 1 Quiz Answers

Quiz 1: Measurement System Analysis Practice

Q1. Which statement is not a characteristic of a Measurement System?

  • Do we really need a measurement system?
  • Can we detect any changes in the process?
  • Are we capturing the correct data?
  • Can we identify the source of the measurement error?

Q2. Calibration:

  • Does not check the precision of the measuring device
  • Matches the output of a measuring device to a known standard
  • Checks the variation of the measuring device
  • Does not check the accuracy of the measuring device

Q3. Only the Measurement System Variability form the Total Observed Variation distribution.

  • False
  • True

Q4. Gage Bias is defined as:

  • A preference of using a gage as opposed to using other measuring devices
  • The closeness of repeated readings to the standard
  • The (directional) difference between the observed mean of measurements and a known standard
  • The observed average of measurements from a gage

Q5. Which is not a source of variation?

  • The mean drift of the measuring device.
  • The measuring device itself
  • The operator conducting the measurements
  • Other sources such as environmental

Q6. Accuracy is how close the agreement is between the mean of one or more measured results to that of a reference or standard value

  • True
  • False

Q7. In a measurement system, what is Reproducibility precision?

  • Has nothing to do with the gage operator
  • The variation in measurement averages when the same gage is used by different operators
  • The variation in measurement means when the same gage is used by the same operator
  • Has nothing to do with variation

Q8. Accuracy and Precision are the same thing.

  • True
  • False

Q9. What is the basis for Gage Repeatability and Reproducibility?

  • Variation in the observed measurements due to the operators only
  • Variation in the observed measurements due to the equipment only
  • Variation in the observed measurements due to the operators and the equipment
  • Variation in the observed measurements due to the part-to-part variability

Q10. Linearity is the accuracy of measurements at various points along the measuring range of the equipment.

  • True
  • False

Quiz 2: Measurement System Analysis Practice Graded Quiz

Q1. What does Calibration really accomplish?

  • The observed average of measurements from a gage
  • Helps align the true value with the observed value within the process.
  • A preference of using a gage as opposed to using other measuring devices
  • The closeness of repeated readings to the standard

Q2. An Observed Variation has two sources: Actual and Measurement

  • True
  • False

Q3. Gage Stability is the drift in the absolute output of a measurement device over time.

  • True
  • False

Q4. What is not a source of variation?

  • Checking for the mean drift is the same as variation
  • Other sources such as environmental
  • The operator conducting the measurements
  • The measuring device itself

Q5. Accuracy is how close the agreement is between the mean of one or more measured results to that of a reference or standard value

  • True
  • False

Q6. If you see a tolerance of plus or minus 5 thousandths of an inch in a drawing, what is this referring to?

  • Accuracy
  • Precision

Q7. Repeatability and Reproducibility are a part of…..

  • Operator variability
  • Gage variability
  • Actual variability

Q8. Total variability is the sum of the part-to-part variability (or actual variability) and the measurement variability.

  • True
  • False

Six Sigma Tools for Analyze Week 2 Quiz Answers

Quiz 1: Process Analysis Tools Practice

Q1. Quality Tools designated for the Analyze phase of the DMAIC model cannot be used in other phases.

  • True
  • False

Q2. How much of the time that product is in a factory is non-value added?

  • 35-50%
  • 80-95%
  • 65-80%
  • 50-65%

Q3. If it is determined that a step in the process is non-value added, it can automatically be removed.

  • True
  • False

Q4. Some companies add a sixth S to the 5S process. This extra S is for:

  • Shine
  • Set in order
  • Standardize
  • Safety
  • Sort
  • Sustain

Q5. Which 5S step is most difficult to accomplish?

  • Sustain
  • Sort
  • Shine
  • Set in Order
  • Standardize

Q6. Which 5S step tells us that we should have a place for everything and everything in its place?

  • Set in Order
  • Sort
  • Shine
  • Standardize
  • Sustain

Q7. When analyzing a process to eliminate waste, the first  to ask is:

  • Does the customer care?
  • Do we have control?
  • Does management care?
  • Will the process fail?

Q8. If a process step is non-value added, we might still need to keep it if:

  • The process will fail, or we do not have control
  • The customer does not care or we do not have control
  • The customer does not care or the process will fail
  • All of the above

Q9. When implementing 5S, items that are not used every day are typically:

  • Discarded
  • Returned to the vendor
  • Carefully stored in designated and marked space
  • Stored nearby

Q10. In which work environment is 5S an effective tool?

  • Manufacturing
  • Service
  • Healthcare
  • All of the above

Quiz 2: Process Analysis Tools

Q1. Failure Mode and Effects Analysis is a relatively new quality tool.

  • True
  • False

Q2. Risk Management is a critical part of:

  • ISO 9000/2015
  • The Malcolm Baldrige Framework for Performance
  • Any Quality System
  • All of the above

Q3. FMEA is typically done by an individual expert working alone.

  • True
  • False

Q4. Why do we need to talk to our customers when doing FMEA?

  • To determine if they are engaged
  • To learn how they intend to use our product
  • To determine if they are satisfied
  • To determine their needs and wants

Six Sigma Tools for Analyze Week 3 Quiz Answers

Quiz 1: Root Cause Analysis Practice

Q1. When using the 5 whys tool, it is important to ask why exactly 5 times.

  • True
  • False

Q2. 5 Whys is best used by:

  • A team to determine root cause
  • An expert to determine root cause
  • Management to determine root cause
  • The process owner to determine root cause

Q3. Which of the 8 wastes is made most visible by a Spaghetti Diagram?

  • Transportation and Motion
  • Waiting and Defects
  • Overproduction and Overprocessing
  • Inventory and Waiting

Q4. When creating a process map, using all of the available symbols is not important.

  • True
  • False

Q5. Which type of tool will best help you identify process handoffs?

  • Spaghetti Diagram
  • Flow Chart
  • Measles Diagram
  • Swim Lane Diagram

Q6. Process Mapping is often the first step in process improvement.

  • True
  • False

Q7. When applied to an existing process, a process map should represent the process as:

  • The process owner wants it to operate
  • Company standards dictate
  • It was designed to operate
  • It actually operates

Q8. Who will know the most about how a process actually operates?

  • The engineer that designed it
  • The process owner
  • The area supervisor
  • Frontline employees who use it every day

Q9. Force Field Analysis requires careful and accurate data collection.

  • True
  • False

Q10. When performing a Force Field Analysis:

  • A state of equilibrium is described
  • Sometimes you might identify forces that belong on both sides of the chart
  • It is a good idea to pair driving and restraining forces
  • All of the above

Quiz 2: Root Cause Analysis Graded Quiz

Q1. A Prioritization Matrix may be used by a team to decide among options.

  • True
  • False

Q2. The use of the Prioritization Matrix can be described as

  • An exercise that is both qualitative and quantitative
  • A quantitative exercise that may feel qualitative.
  • A qualitative exercise that may feel quantitative.
  • An exercise that is neither qualitative nor quantitative.

Q3. When using a Prioritization Matrix a decision is reached:

  • Through a series of team discussions, guided by the score.
  • By selecting the option with the lowest score
  • By selecting the option with the highest score
  • All of the above

Q4. In a Prioritization Matrix, the criteria are determined:

  • By the team
  • By external standards
  • By company policy
  • All of the above

Q5. A priority Matrix should have:

  • Four options and three criteria
  • Three options and four criteria
  • The number of options and criteria that suit the problem
  • Four options and four criteria

Six Sigma Tools for Analyze Week 4 Quiz Answers

Quiz 1: Data Analysis Practice Quiz

Q1. Which of the images below is right-skewed?

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.

.

.

Q2. Which of the images below is bimodal?

.

.

.

.

Q3. Suppose heights of children in a youth baseball league are normally distributed with a mean of 48 inches and a standard deviation of 2 inches. Estimate the percentage of children in the league that are shorter than 45 inches.

  • 6.7%
  • 56.7%
  • 43.3%
  • 93.3%

Q4. Suppose heights of children in a youth baseball league are normally distributed with a mean of 48 inches and a standard deviation of 2 inches. Estimate the percentage of children in the league that are taller than 44 inches.

  • 2.3%
  • 52.3%
  • 97.7%
  • 47.7%

Q5. Suppose heights of children in a youth baseball league are normally distributed with a mean of 48 inches and a standard deviation of 2 inches. Estimate the percentage of children in the league that are between 43 and 45 inches.

  • 6.1%
  • 93.9%
  • 93.3%
  • 6.7%

Q6. Which of the following is NOT a requirement to model with the binomial distribution?

  • A continuous random variable
  • A constant probability of success between trials
  • A predetermined number of trials
  • Exactly two possible states for the random variable

Q7. Which of the following COULD be modeled using the binomial distribution?

  • The probability of getting exactly 3 s correct when randomly guessing on a 10  true/false test.
  • The number of each letter in the alphabet found in the next 10 license plates that pass <this does not have two states
  • The number of green lights you go through before you encounter a red light <this does not have a set number of trials
  • The probability of exactly 2 defects when taking a sample of size 20 from a lot of size 100 that is known to be 8% defective.

Q8. Suppose that a sample of size 12 is randomly chosen from a batch of size 800 that is known to be 5% defective. What is the probability that there is exactly one defective item in your sample?

  • .341
  • .659
  • .099
  • .070

Q9. Which of the following is true about variation:

  • Common cause variation is also called assignable cause variation
  • Special cause variation is also called surge variation
  • Special cause variation can exist in a process that is in statistical control
  • Common cause variation can exist in a process that is in statistical control

Q10. The impact of temperature fluctuations within the plant on the variability in a process would be characterized as what type of variation?

  • Common cause
  • Special cause
  • Unimodal
  • Bivariate

Q11. A control chart signals that the mean of your process has increased and after investigating it is determined that an operator incorrectly adjusted the equipment. The variation due to the operator’s incorrect adjustment is an example of what type of variation?

  • Bivariate
  • Unimodal
  • Common cause
  • Special cause

Quiz 2: Data Analysis Graded Quiz

Q1. Suppose the time to answer calls by a customer service center are normally distributed with a mean of 2 minutes and a standard deviation of 0.5 minutes. Estimate the percentage of calls that will take longer than 3.5 minutes to answer.

  • 49.9%
  • 0.14%
  • 50.14%
  • 99.9%

Q3. Suppose the time to answer calls by a customer service center are normally distributed with a mean of 2 minutes and a standard deviation of 0.5 minutes. Estimate the percentage of calls that will take between 2.5 and 3.0 minutes to answer.

  • 13.5%
  • 84.1%
  • 97.7%
  • 86.5%

Q4. Which of the following is NOT a requirement to model with the binomial distribution?

  • Exactly two possible states for the random variable
  • A constant probability of success between
  • Less than 25 trials
  • A discrete random variable

Q5. Which of the following COULD be modeled using the binomial distribution?

  • The probability of exactly 1 defect when taking a sample of size 4 from a lot of size 40 that is known to be 5% defective. <the population size is less than 50
  • The number of times you flip a fair coin before getting 3 heads <this does not have a set number of trials
  • The number of each type of value meal at McDonalds ordered from the first 100 cars <this does not have two states
  • The probability of getting exactly 12 odd numbers when rolling a fair die 20 times.

Q6. Suppose that a sample of size 10 is randomly chosen from a batch of size 100 that is known to be 8% defective. What is the probability that there is exactly two defective items in your sample?

  • .378
  • .148
  • .102
  • .009

Q7. Which of the following is true about variation:

  • Special cause variation can exist in a process that is in statistical control
  • Control charts are used to recognize special cause variation when it occurs so that appropriate action is taken
  • Common cause variation are events that can be controlled if made aware of
  • Special cause variation is inherent to the process and cannot be controlled

Q8. The impact of a defective batch of raw material on the variability in a process would be characterized as what type of variation?

  • Special cause
  • Unimodal
  • Bivariate
  • Common cause
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