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Diploma in Six Sigma | Alison Six Sigma Diploma Assessment Answers

About the Diploma:

This free online Six Sigma certification course will describe how to plan and implement a Six Sigma project with a simple sequence of steps. Six Sigma is a set of techniques and tools which seek to improve the quality of process outputs by identifying and removing defects and minimizing variability in manufacturing and business processes. Professionals with this expertise are highly valued, and our course will help you become such a professional.

What You Will Learn In This Free Course:

  • Describe the basics of Statistical Process Control.
  • Describe to use Design of Experiments to understand and optimize process settings.
  • Explain and apply the statistical techniques used in Six Sigma.
  • Outline the steps in planning Design of Experiments.
  • Describe the development of Taguchi Methods by Genichi Taguchi.
  • Describe typical Quality Engineering applications.
  • Define benchmarking and list its benefits.
  • List the steps of widely used benchmarking procedures.
  • Define what supply chain management is.
  • Describe how Six Sigma can be used in supply chain management.
  • Describe management’s challenge of integrating Six Sigma processes into supply chain systems.

Alison Certificate:

All Alison courses are free to enrol study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world.

Your Alison Diploma is:

  • Ideal for sharing with potential employers.
  • Include it in your CV, professional social media profiles and job applications.
  • An indication of your commitment to continuously learn, upskill & achieve high results.
  • An incentive for you to continue empowering yourself through lifelong learning.

Find Out the Correct Answers Here:

Diploma in Six Sigma – First Assessment Answers

  • The MaterialMoisture content, Blending, Contamination The Method Procedures, Set-up, Temperature, Cutting speedsThe OperatorTraining, Supervision, Technique
  • Moisture content, Blending, Contamination
  • Training, Supervision, Technique
  • Procedures, Set-up, Temperature, Cutting speeds
  • Run Experiment and Collect the Data
  • Analyze the data
  • Conclusions
  • Perform a confirmation run
  • Design of experiments (DOE)
  • Build-Test-Fix problems
  • One-factor-at-a-time
  • Scatter plots
  • Raw materials
  • Labor
  • Control variables
  • Management meetings
  • Random assignment of experimental units to conditions.
  • Variable must be manipulated by experimenter.
  • Correlation always implies causation.
  • True
  • False
  • True
  • False
  • Time
  • Resources (people, equipment etc)
  • Longer management meetings
  • True
  • False
  • Y = number of factors
  • x = number of conditions
  • Y = number of conditions
  • x = number of factors
  • Shorter working hours
  • Material (unprocessed or unstable product)
  • Usable product that is not being produced
  • Run the experiment
  • Collect and analyze the data
  • Determine and verify the response
  • Act on the results

True
False

  • Choose the corresponding answers for the control chart on the left from the statements about control charts for variables data in the drop-down menu.
  • X-bar charts :For individual measures; uses moving ranges
  • X-bar and s charts : For sample means and standard deviations
  • X-bar and R charts : For sample averages and ranges
  • Statistical Process Control (SPC): Quality control efforts that occur during production.
  • Acceptance Sampling : Quality assurance that relies primarily on inspection before and after production.
  • True
  • False
  • Non-Random variability: Can be modified through operator or management action.
  • Random variability :Can be eliminated only through improvements in the system.
  • In DOE only one factor has to be changed.
  • DOE can identify the key decision parameters to control a process and to improve it.
  • Factorial experiments are the most economical and precise approach for studying multi-factor effects.
  • Determine the goals
  • Define the measures of success
  • Verify feasibility (rough estimate)
  • Design the experiment (precise estimate)
  • Range chart (R chart)Uses the amount of dispersion in a sample.
  • Mean chart (X-bar chart)Uses the average of a sample.
  • True
  • False
  • Scatter Plots
  • Tabulating Data
  • Histograms
  • Design of Experiment
  • Scatter Plots
  • Tabulating Data
  • Histograms
  • Design of Experiment
  • True
  • False
  • Attribute charts: Require larger sample sizes: 50 to 100 parts in a sample.
  • Variable charts: Require smaller samples: 2 to 10 parts in a sample.

Number of employees
Humidity
Ambient temperature
Vibration

  • Material (unprocessed or unstable product)
  • Usable product that is not being produced
  • Shorter working hours

16
10
64
256

  • Two standard deviations from the mean.
  • One standard deviation from the mean.
  • Three standard deviations from the mean.
  • True
  • False
  • True
  • False
  • X-bar charts
  • p charts
  • c charts
  • Range (R) charts
  • Verify the model
  • Analyze the model
  • Tests its validity
  • Calculate a system model
  • Define objective
  • Select the Response (Y)
  • Select the Factors (Xs)
  • Choose the factor levels
  • Control variables What you hold constant
  • Confounding variable Correlated with independent variable
  • Random (noise) variables What you allow to vary randomly
  • Gertrude Cox
  • Walter Shewhart
  • Ronald Fisher
  • Karl Pearson
  • Only Control variables have to be measured.
  • DOE gives much more information than obtained from one-at-a-time experimentation.
  • Statistical foundation of DOE yields a lot of information at relatively low cost.
  • Type II error with charts : Conclude that a process is in control when it is not.
  • Type I error with charts: Conclude that a process is not in control when it actually is.
  • Isolated
  • Non-random
  • Random
  • Extraneous
  • p charts
  • X-bar charts
  • Range (R) charts
  • c charts
  • Logistic variables
  • Input variables
  • Environmental variables
  • Output variables
  • Histograms
  • Design of Experiments
  • Regression
  • Confidence Intervals
  • Number of defects per item
  • Temperature
  • Tensile strength
  • Diameter of objects
  • 4 points near the centre line.
  • 8 consecutive points on one side of the centre line.
  • 8 consecutive points up or down across zones.
  • 14 points alternating up or down.
  • 4 out of 5 consecutive points in zone C.
  • 2 out of 3 consecutive points in zone A but still inside the control limits.
  • 4 out of 5 consecutive points in zone A or B.
  • np Charts
  • P Charts
  • X Charts
  • Significance Tests
  • True
  • False
  • True
  • False
  • c charts Number of non-conformities
  • np charts Number of units non-conforming
  • p charts Proportion of units non-conforming
  • No sample points are outside limits.
  • Most points near the process average.
  • About equal number of points above & below centerline.
  • The operator is being supervised.
  • True
  • False
  • Scatter Plots
  • ANOVA
  • P Charts
  • Histograms
  • True
  • False
  • Independent variables (factors): What you manipulate
  • Dependent variables (responses): What you measure
  • Control variables What you hold constant
  • True
  • False

Diploma in Six Sigma – Second Assessment Answers

  • Management meetings
  • Manufacturing/Assembly
  • Procurement
  • Distribution
  • Outbound logistics
  • Design and research
  • Research and development costs
  • Conversion efficiency of materials
  • Cost of redesign and re-inspection
  • True
  • False
  • Noise Factors: Factors that represent the noise that is expected in production or in actual use of the product.
  • Control Factors: Design factors that are to be set at optimal levels to improve quality and reduce sensitivity to noise.
  • Operating Temperature Adjustment Factor: Factor that affects the mean but not the variance of a response.
  • True
  • False
  • Identify Process to Benchmark
  • Select Organization to Benchmark
  • Prepare for the Visit
  • Visit the organization
  • Debrief and Develop an Action Plan
  • Retain and Communicate
  • A Design that results in products or services that can function over a broad range of usage and environmental conditions.
  • A Design that results in increased sales.
  • A Design that results in fewer employees needed to manufacture goods.
  • A Design that results in cheaper products.
  • Reliability
  • Accuracy
  • Timeliness
  • Absenteeism
  • True
  • False
  • Orthogonal designs
  • Central Cuboid designs
  • Factorial designs
  • Fractional designs
  • Center weighted designs
  • Parameters that produce more products.
  • Parameters that minimize performance variation due to noise factors.
  • Parameters that have significant influence on performance.
  • Parameters that minimize the processing cost.
  • Parameters that have little influence on performance.
  • True
  • False
  • Customer appraisals of delivery timeliness.
  • Overall customer satisfaction with products and services.
  • Customer evaluation of sales and services representatives.
  • Number of emails a customer receives from the business.
  • Less information
  • More goods at lower cost
  • More services at lower cost
  • Delivery of goods/services in a shorter time frame
  • Robustness
  • Productivity
  • Quality management
  • True
  • False
  • Industry publications
  • All of these
  • Special Industry Reports
  • Library database
  • Industry experts
  • Management decision-making performance measures.
  • Employee performance measures.
  • Technology and innovation related performance measures.
  • Supplier performance measures.
  • High level of inventory
  • Strong internal/external customer orientation
  • Top management’s direct involvement
  • True
  • False
  • Innovative ideas
  • Best practices
  • Highly effective operating procedures
  • Cheap labor rates
  • True
  • False
  • Fewer management meetings
  • Poor management of logistics
  • No monitoring of lead times
  • True
  • False

Diploma in Six Sigma – Final Assessment Answers

  • True
  • False
  • 3
  • 5
  • 9
  • 7
  • Gertrude Cox
  • Karl Pearson
  • Ronald Fisher
  • Walter Shewhart
  • Parameters that produce more products.
  • Parameters that have little influence on performance.
  • Parameters that have significant influence on performance.
  • Parameters that minimize performance variation due to noise factors.
  • Parameters that minimize the processing cost.
  • True
  • False
  • Distribution
  • Outbound logistics
  • Design and research
  • True
  • False
  • True
  • False
  • Type I error with chartsConclude that a process is not in control when it actually is.
  • Type II error with chartsConclude that a process is in control when it is not.
  • True
  • False
  • Mean chart (X-bar chart)Uses the average of a sample.
  • Range chart (R chart)Uses the amount of dispersion in a sample.
  • True
  • False
  • Exposes people to new ideas.
  • Leads to lower cost positions.
  • Tests the rigor of internal operating targets.
  • Leads to higher wages.
  • Variable chartsRequire smaller samples: 2 to 10 parts in a sample.
  • Attribute chartsRequire larger sample sizes: 50 to 100 parts in a sample.
  • True
  • False
  • Random variabilityCan be eliminated only through improvements in the system.
  • Non-Random variabilityCan be modified through operator or management action.
  • Design of Experiment
  • Histograms
  • Tabulating Data
  • Scatter Plots
  • True
  • False
  • True
  • False
  • Scatter plots
  • Design of experiments (DOE)
  • One-factor-at-a-time
  • Build-Test-Fix problems
  • Too many management meetings
  • Control specs problems
  • Worker absenteeism
  • Library database
  • Special Industry Reports
  • Industry publications
  • All of these
  • Industry experts
  • True
  • False
  • Scatter plots
  • Build-Test-Fix problems
  • One-factor-at-a-time
  • Design of experiments (DOE)
  • True
  • False
  • A Design that results in cheaper products.
  • A Design that results in increased sales.
  • A Design that results in products or services that can function over a broad range of usage and environmental conditions.
  • A Design that results in fewer employees needed to manufacture goods.
  • The Material :Moisture content, Blending, Contamination
  • The Operator: Training, Supervision, TechniqueThe Method
  • Procedures: , Set-up, Temperature, Cutting speeds
  • Akira Taguchi
  • Genichi Taguchi
  • Michi Taguchi
  • Katsuro Taguchi
  • True
  • False
  • Quality management
  • Productivity
  • Robustness
  • In DOE only one factor has to be changed.
  • DOE can identify the key decision parameters to control a process and to improve it.
  • Factorial experiments are the most economical and precise approach for studying multi-factor effects.
  • True
  • False
  • Design of Experiments
  • Histograms
  • Scatter diagrams
  • Fishbone diagrams
  • Identify Process to Benchmark
  • Select Organization to Benchmark
  • Prepare for the Visit
  • Visit the organization
  • Debrief and Develop an Action Plan
  • Retain and Communicate
  • Fractional designs
  • Orthogonal designs
  • Factorial designs
  • Central Cuboid designs
  • Compile list of best practices and match to improvement needs.
  • Review team observations and compile report of visit.
  • Structure action items, identify owners and move into Improve phase.
  • Enter information on your Intranet benchmarking project database.
  • Statistical foundation of DOE yields a lot of information at relatively low cost.
  • DOE gives much more information than obtained from one-at-a-time experimentation.
  • Only Control variables have to be measured.
  • True
  • False
  • Control variablesWhat you hold constant
  • Dependent variables (responses) What you measure
  • Independent variables (factors) What you manipulate
  • Curve Plots
  • Response Surface Design
  • Factorial Design
  • Taguchi Method
  • Management meetings
  • Procurement
  • Manufacturing/Assembly
  • Billing
  • Documentation
  • After-sales service
  • Employee wage levels
  • Determine which function(s) to benchmark
  • Measure your own performance
  • Identify key performance variables to measure
  • Identify the best-in-class companies
  • True
  • False
  • Center weighted designs
  • Factorial designs
  • Fractional designs
  • Central Cuboid designs
  • Orthogonal designs
  • Define
  • Measure
  • Analyze
  • Improve
  • Control

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