Test your basic knowledge |

ADM

Instructions:

Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can study here.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.

1. What is satisficing - what is optimizing?
Technology space limits
Optimizing - finds the set of criteria that maximizes or minimizes a design criteria or several design criteria - Satisficing - finds the conditions where the constraints or requires are met but no optimization occurs.
To analytically answer 'What can be done to reduce the impact of sensitivities of objective to sources of uncertainty?'
PE(i)=?Ft

2. What is the difference between price and cost?
It gives the probability that a value will be met or exceeded.
Cost: investment required to produce and item - Price: amount required to purchase said item - Price = cost + profit/fee
M&S environment is needed to facilitate rapid assessments with minimal time and monetary expenditures of the alternative concepts identified in the Morphological Matrix Method: DoE
Active UTE (additive) - Product UTE (multiplicative)

3. What can be done about uncertainty in requirement?
Mean: the average - Median: The midpoint in the data - equal # of higher and lower values - Mode: Most common value
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.
Technology space limits
Technology Impacts Requirements uncertainty (creep/change) - Quantified by probability of success/satisfaction: P(success)

4. If you have a two values on a CDF what is the probability of getting a value between them?
Has a natural zero - is a cardinal scale
Trying to determine the metric values for any combination of design variables/ what the metrics are as a function of design variables Method: RSE: Response Surface Eqn.
M&S environment is needed to facilitate rapid assessments with minimal time and monetary expenditures of the alternative concepts identified in the Morphological Matrix Method: DoE
P(between B and A)=F(B)-F(A)

5. What is the definition of ROI?
Technology Impact Matrix - for n tech & m metrics of interest - nxm matrix - has 'k' factor with degradation/improvement from baseline
Provide for rapid trade- off capability between the three elements and search for feasible solutions - Allow graphical visualization of the combined space - Address mission requirements ambiguity and technology uncertainty.
The interest i such that 0=PE(i^)
(1) Expanding ranges on engineering metrics (2) Relaxing customer requirements (3) Select a different concept space

6. Why do we use a sample?
Gaussian Distribution
A sample is a subset of a population. We use samples because we very rarely have the resources to test/examine an entire population
X+Y and X-Y are normally distributed. - (X
The interest i such that 0=PE(i^)

7. interval scale
Does not have a natural zero - is a cardinal scale
Technology Readiness Level Ranges 1-9 - where 1 means that the basic principle have been observed and reported and 9 means the technology has had successful missions A high tech means the technology is pretty developed and should be (or is) ready for
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.
Fixed cost does not depend on production rate and/or size - Variable cost changes with production rate and/or size.

8. Direct Operating Costs
A technique used to determine the best alternative with all interactions between the constraints. Used for product design.
As you add n number of identical & independent distributions (IIDs) together - as n --> inf - the resulting distribution will be normal - regardless of the shape of the IIDs
Cost required to perform a function - without which the function cannot be performed. (e.g. fuel costs - pilot wages)
Cost related to function - but not explicitly necessary. (e.g. attendant wages - advertising)

9. What are properties of a CDF?
Range is always between zero and 1 monotonically increasing
Mean =0 Variance =1
The first step is defining the problem - mapping customer requirements to engineering metrics. Method: QFD
A probability density contour plot is a visualization method for Joint probability density function (a 2D representation). Their shapes (contour shapes) tell if the metric analyzed in each axis are correlated or not (Circular -> no correlation) (elli

10. Show and explain a pareto frontier
X+Y and X-Y are normally distributed. - (X
Required yield per revenue passenger TOC/(#OfSeats)(loadFactor)(distanceInMiles) loadFactor = % of seats filled w/ paying customers
A pareto frontier represents points of a non - dominated solution based on preferences
Inflation is the decrease in the buying power/value of money. It is caused by the when amount of available money changes wrt amount of product/services available

11. What can management do to mitigate the risk associated with infusing new technologies?
X+Y and X-Y are normally distributed. - (X
A technique used to determine the best alternative with all interactions between the constraints. Used for product design.
Determining how feasible your design is / if your current baseline (or a variation in geometry) can meet your customer requirements. Method: Monte Carlo
Carry a diverse portfolio of technologies during conceptual design - Limit the number of technologies in the final design - Utilize only mature technologies (high TRL)

12. What is the goal of robust design?

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183

13. Strengths of TOPSis...
(1) Easy to compute order of large # of alternatives (2) Gives specific ranking order
(1) Expanding ranges on engineering metrics (2) Relaxing customer requirements (3) Select a different concept space
Convenient properties - Various physical - astronomic - and real life examples have roughly 'normal' behaviors - good approximation for measurements due to central limit theorem
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.

14. What does TOPSIS stand for?
F(x)=1/(s(2p)^(.5) )exp?(-(x-
RDTE - Investment/Acquisition - Operations and Support - Disposal
Technique for Order Preference by Similarity to Ideal Solution
Cost related to function - but not explicitly necessary. (e.g. attendant wages - advertising)

15. 4 Measures of Dispersion
(1) Expanding ranges on engineering metrics (2) Relaxing customer requirements (3) Select a different concept space
Determine the design space - baseline Method: Morphological Matrix
Range: Gives the magnitude of the spread - min and max - Variance: Indicates how spread out the data is - Skewness: Indicates if the distribution is biased - Kurtosis: Peakness
A probability density contour plot is a visualization method for Joint probability density function (a 2D representation). Their shapes (contour shapes) tell if the metric analyzed in each axis are correlated or not (Circular -> no correlation) (elli

16. Write down a formula for a normal distribution
F(x)=1/(s(2p)^(.5) )exp?(-(x-
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.
Cost required to perform a function - without which the function cannot be performed. (e.g. fuel costs - pilot wages)
Technology Impacts Requirements uncertainty (creep/change) - Quantified by probability of success/satisfaction: P(success)

17. What are the three snapshots of UTE?
Gaussian Distribution
Central limit theorem
Convenient properties - Various physical - astronomic - and real life examples have roughly 'normal' behaviors - good approximation for measurements due to central limit theorem
(1) Mission Requirements - Input: Mission metrics and requirements Output: Delta response for requirements (2) Design Variables - Input: Geometric and economic design variables Output: Delta response for design variable - (3) Technologies Input: P

18. 3 Probabilistic Design Methods
(1) Identify potential technologies that may improve technical & economical feasibility (2) Establish physical compatibility rules for diff techs (3) Determine expected impact (improvements and degradations) to systems of interest Method: TRL - Techn
A technique used to determine the best alternative with all interactions between the constraints. Used for product design.
(1) Sophisticated Analysis Code + Monte Carlo (2) Metamodel/Response Surface + Monte Carlo (3) Sophisticated Analysis Code + Fast Probability Integration
PE(i)=?Ft

19. Is CDF discrete or continuous - if it is discrete give the continuous equivalent - if it continuous give the discrete equivalent.
Carry a diverse portfolio of technologies during conceptual design - Limit the number of technologies in the final design - Utilize only mature technologies (high TRL)
OEC = W1X/Xbsl + W2Nbsl/N
Technology space limits
It can be continuous or discrete

20. What is the notation for a standard normal distribution?
F(x)=1/(s(2p)^(.5) )exp?(-(x-
Cost: investment required to produce and item - Price: amount required to purchase said item - Price = cost + profit/fee
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.
X~N(0 -1)

21. Other than infusing technologies - how can you create design space?
F(x)=1/(s(2p)^(.5) )exp?(-(x-
It can be continuous or discrete
To analytically answer 'How much design margin is really necessary?'
(1) Expanding ranges on engineering metrics (2) Relaxing customer requirements (3) Select a different concept space

22. What is the equation for the learning curve?
The first step is defining the problem - mapping customer requirements to engineering metrics. Method: QFD
Allows designer to assess feasibility of design
y = kx^n - y: production effort k: effort for first unit x: # of units n: learning factor
Determining how feasible your design is / if your current baseline (or a variation in geometry) can meet your customer requirements. Method: Monte Carlo

23. Ratio scale
A pareto frontier represents points of a non - dominated solution based on preferences
It can be continuous or discrete
Determining how feasible your design is / if your current baseline (or a variation in geometry) can meet your customer requirements. Method: Monte Carlo
Has a natural zero - is a cardinal scale

24. $/RPM Equation
Mean =0 Variance =1
Required yield per revenue passenger TOC/(#OfSeats)(loadFactor)(distanceInMiles) loadFactor = % of seats filled w/ paying customers
(1) Expanding ranges on engineering metrics (2) Relaxing customer requirements (3) Select a different concept space
A pareto frontier represents points of a non - dominated solution based on preferences

25. In what regions of the graph is UTE applicable?
Select final tech comb. For any multi attribute - constraint - or criteria problem - the selection of the 'best' family of alternatives is inherently subjective. Various selection techniques are used to provide decision maker with extensive info. Met
The interest i such that 0=PE(i^)
Regions 1 to 3.
Technology Impact Matrix - for n tech & m metrics of interest - nxm matrix - has 'k' factor with degradation/improvement from baseline

26. Name the advantages of UTE.
(1) Easy to compute order of large # of alternatives (2) Gives specific ranking order
Provide for rapid trade- off capability between the three elements and search for feasible solutions - Allow graphical visualization of the combined space - Address mission requirements ambiguity and technology uncertainty.
F(x)=1/(s(2p)^(.5) )exp?(-(x-
Mean: the average - Median: The midpoint in the data - equal # of higher and lower values - Mode: Most common value

27. What is the definition of inflation?
Inflation is the decrease in the buying power/value of money. It is caused by the when amount of available money changes wrt amount of product/services available
(1) Sophisticated Analysis Code + Monte Carlo (2) Metamodel/Response Surface + Monte Carlo (3) Sophisticated Analysis Code + Fast Probability Integration
To analytically answer 'How much design margin is really necessary?'
Optimizing - finds the set of criteria that maximizes or minimizes a design criteria or several design criteria - Satisficing - finds the conditions where the constraints or requires are met but no optimization occurs.

28. What is TRL? Range? What does a high TRL mean?
Determining how feasible your design is / if your current baseline (or a variation in geometry) can meet your customer requirements. Method: Monte Carlo
Gaussian Distribution
Technology Readiness Level Ranges 1-9 - where 1 means that the basic principle have been observed and reported and 9 means the technology has had successful missions A high tech means the technology is pretty developed and should be (or is) ready for
is bottom- up - you look at certain technologies and see what improvements they offer

29. Assumptions Used in TOPSis...
Trying to determine the metric values for any combination of design variables/ what the metrics are as a function of design variables Method: RSE: Response Surface Eqn.
Chosen alternative should be closest to positive ideal soln - and farthest from neg ideal soln
PE(i)=?Ft
X+Y and X-Y are normally distributed. - (X

30. TIES Step 3: Model and Simulation
M&S environment is needed to facilitate rapid assessments with minimal time and monetary expenditures of the alternative concepts identified in the Morphological Matrix Method: DoE
X~N(0 -1)
Is top- down - you aren't looking at specific technologies - you're just looking at what you need in the future
Active UTE (additive) - Product UTE (multiplicative)

31. Why is learning curve used (or what is it?)
As you add n number of identical & independent distributions (IIDs) together - as n --> inf - the resulting distribution will be normal - regardless of the shape of the IIDs
Cumulative Distribution Function
A pareto frontier represents points of a non - dominated solution based on preferences
Efficiency improves as better techniques are learned. As more efficient techniques are found - the learning curve begins to level off as incremental improvements decrease.

32. What is another name for a normal distribution?
As you add n number of identical & independent distributions (IIDs) together - as n --> inf - the resulting distribution will be normal - regardless of the shape of the IIDs
Gaussian Distribution
Mean =0 Variance =1
Central limit theorem

33. Define fixed cost and variable cost.
Provide for rapid trade- off capability between the three elements and search for feasible solutions - Allow graphical visualization of the combined space - Address mission requirements ambiguity and technology uncertainty.
As you add n number of identical & independent distributions (IIDs) together - as n --> inf - the resulting distribution will be normal - regardless of the shape of the IIDs
Mean =0 Variance =1
Fixed cost does not depend on production rate and/or size - Variable cost changes with production rate and/or size.

34. What is the equation for OEC if X is a benefit (maximize) and N is a cost (minimize)?
Chosen alternative should be closest to positive ideal soln - and farthest from neg ideal soln
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.
Fixed cost does not depend on production rate and/or size - Variable cost changes with production rate and/or size.
OEC = W1X/Xbsl + W2Nbsl/N

35. TIES Step 6: Identify Technology
Inflation is the decrease in the buying power/value of money. It is caused by the when amount of available money changes wrt amount of product/services available
PE(i)=?Ft
Efficiency improves as better techniques are learned. As more efficient techniques are found - the learning curve begins to level off as incremental improvements decrease.
(1) Identify potential technologies that may improve technical & economical feasibility (2) Establish physical compatibility rules for diff techs (3) Determine expected impact (improvements and degradations) to systems of interest Method: TRL - Techn

36. If you have two compatible mature technologies to infuse - or one not mature technology - which will have the most variance?
Gaussian Distribution
Inflation is the decrease in the buying power/value of money. It is caused by the when amount of available money changes wrt amount of product/services available
MADM - since we are selecting from existing alternatives for technology infusion. Also - TOPSIS is a MADM technique.
No way to tell without more information. It depends on the relation between s12+s22 and s32

37. Indirect Operating Cost
(1) Easy to compute order of large # of alternatives (2) Gives specific ranking order
Cost related to function - but not explicitly necessary. (e.g. attendant wages - advertising)
Carry a diverse portfolio of technologies during conceptual design - Limit the number of technologies in the final design - Utilize only mature technologies (high TRL)
A sample is a subset of a population. We use samples because we very rarely have the resources to test/examine an entire population

38. MODM
Mean: the average - Median: The midpoint in the data - equal # of higher and lower values - Mode: Most common value
The first step is defining the problem - mapping customer requirements to engineering metrics. Method: QFD
(1) End result not intuitive (2) Heavily reliant on weights - which are subjective
A technique used to determine the best alternative with all interactions between the constraints. Used for product design.

39. What is probability density contour plot
Determine the design space - baseline Method: Morphological Matrix
Optimizing - finds the set of criteria that maximizes or minimizes a design criteria or several design criteria - Satisficing - finds the conditions where the constraints or requires are met but no optimization occurs.
is bottom- up - you look at certain technologies and see what improvements they offer
A probability density contour plot is a visualization method for Joint probability density function (a 2D representation). Their shapes (contour shapes) tell if the metric analyzed in each axis are correlated or not (Circular -> no correlation) (elli

40. What two variables are necessary to define a normal distribution?
PE(i)=?Ft
Is top- down - you aren't looking at specific technologies - you're just looking at what you need in the future
Does not have a natural zero - is a cardinal scale
Mean and variance

41. What is the goal of probabilistic design?

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183

42. What is TCM? What is the size and what value can it take?
(1) Sophisticated Analysis Code + Monte Carlo (2) Metamodel/Response Surface + Monte Carlo (3) Sophisticated Analysis Code + Fast Probability Integration
X+Y and X-Y are normally distributed. - (X
Technology Compatability Matrix - For n techs - is nxn matrix - Tells whether the intersecting technologies are compatible - It only has 0s and 1s - 0 means the technologies are not compatible with each other - 1 means techs are compatible with each
OEC = W1X/Xbsl + W2Nbsl/N

43. Why is the normal distribution useful or important?

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183

44. With 15 technologies - what is the number of possible combinations?
#=2^n = 2^15
F(x)=1/(s(2p)^(.5) )exp?(-(x-
Cost required to perform a function - without which the function cannot be performed. (e.g. fuel costs - pilot wages)
Look at multiple weight scenarios and find techs that are robust regardless of where the emphasis is put.

45. What are the parameters for a standard normal distribution?
Mean =0 Variance =1
Mean and variance
Determine the design space - baseline Method: Morphological Matrix
Sample size is 4 - the sample is the sum of the five dice.

46. TIF

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183

47. Why use uniform dist for input variables (Gap Analysis)
Convenient properties - Various physical - astronomic - and real life examples have roughly 'normal' behaviors - good approximation for measurements due to central limit theorem
Allows designer to assess feasibility of design
Scaling parameters photographically scale the size of the vehicle to take full advantage of technology -(e.g. increase CL -> Can decrease S -> Decreases D -> Decreases Fuel Consumed -> etc...) This assumes that the physics of the problem remains the
A technique that determines the best alternative based on a multi- attribute utlity function which is closest to hypothetical best solution. Used for product selection.

48. TIES Step 2: Design Space Conception
Determine the design space - baseline Method: Morphological Matrix
Technology Compatability Matrix - For n techs - is nxn matrix - Tells whether the intersecting technologies are compatible - It only has 0s and 1s - 0 means the technologies are not compatible with each other - 1 means techs are compatible with each
X+Y and X-Y are normally distributed. - (X
(1) Identify potential technologies that may improve technical & economical feasibility (2) Establish physical compatibility rules for diff techs (3) Determine expected impact (improvements and degradations) to systems of interest Method: TRL - Techn

49. What are the four difference life cycle costs?
Cost: investment required to produce and item - Price: amount required to purchase said item - Price = cost + profit/fee
RDTE - Investment/Acquisition - Operations and Support - Disposal
A pareto frontier represents points of a non - dominated solution based on preferences
It can be continuous or discrete

50. MADM
Cost: investment required to produce and item - Price: amount required to purchase said item - Price = cost + profit/fee
To analytically answer 'What can be done to reduce the impact of sensitivities of objective to sources of uncertainty?'
A technique that determines the best alternative based on a multi- attribute utlity function which is closest to hypothetical best solution. Used for product selection.
#=2^n = 2^15

Sorry!:) No result found.

Can you answer 50 questions in 15 minutes?

Major Subjects
Tests & Exams AP CLEP DSST GRE SAT GMAT	Certifications CISSP go to https://www.isc2.org/ PMP ITIL RHCE MCTS More...	IT Skills Android Programming Data Modeling Objective C Programming Basic Python Programming Adobe Illustrator More...	Business Skills Advertising Techniques Business Accounting Basics Business Strategy Human Resource Management Marketing Basics More...
Soft Skills Body Language People Skills Public Speaking Persuasion Job Hunting And Resumes More...	Vocabulary GRE Vocab SAT Vocab TOEFL Essential Vocab Basic English Words For All Global Words You Should Know Business English More...	Languages AP German Vocab AP Latin Vocab SAT Subject Test: French Italian Survival Norwegian Survival More...	Engineering Audio Engineering Computer Science Engineering Aerospace Engineering Chemical Engineering Structural Engineering More...
Health Sciences Basic Nursing Skills Health Science Language Fundamentals Veterinary Technology Medical Language Cardiology Clinical Surgery More...	English Grammar Fundamentals Literary And Rhetorical Vocab Elements Of Style Vocab Introduction To English Major Complete Advanced Sentences Literature Homonyms More...	Math Algebra Formulas Basic Arithmetic: Measurements Metric Conversions Geometric Properties Important Math Facts Number Sense Vocab Business Math More...	Other Major Subjects Science Economics History Law Performing-arts Cooking Logic & Reasoning Trivia

Test your basic knowledge |

ADM

Sorry!:) No result found.

Can you answer 50 questions in 15 minutes?

Let me suggest you:

Browse all subjects

Browse all tests

Most popular tests

Major Subjects

Tests & Exams

Certifications

IT Skills

Business Skills

Soft Skills

Vocabulary

Languages

Engineering

Health Sciences

English

Math

Other Major Subjects

Browse all subjects

Browse all tests

Most popular tests