Module 3 - Parametric Estimating Flashcards

(43 cards)

1
Q

What is the parametric estimating technique used for?

A

Developing cost estimates based on relationships between a project’s technical, programmatic, and cost characteristics

It examines the resources consumed during development, manufacture, maintenance, and/or modification.

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2
Q

List the four activities in the basic parametric estimating approach.

A
  • Data Collection
  • Cost Drivers
  • Cost Estimating Relationships (CERs)
  • Parametric Model

These activities are derived from the overall cost estimating process.

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3
Q

What are cost drivers?

A

Parameters that influence the amount of money spent on an item

They are independent variables in Cost Estimating Relationships (CERs).

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4
Q

What is a Cost Estimating Relationship (CER)?

A

An equation that captures the relationship between cost drivers and cost

CERs can range from simple arithmetic means to complex multivariate regressions.

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5
Q

True or false: Cost passengers are the same as cost drivers.

A

FALSE

Cost passengers represent major system components that account for the majority of the system’s cost, while cost drivers influence spending.

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6
Q

What are the three primary estimating techniques used by cost estimators?

A
  • Analogy
  • Parametric Estimating
  • Engineering Build-Up

Each technique has its own strengths and weaknesses in different stages of the acquisition cycle.

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7
Q

Fill in the blank: A parametric model is composed of multiple _______ combinations and other algorithms.

A

CER

Cost drivers are identified through examination of historical costs and technical data.

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8
Q

What is the advantage of using parametric estimating?

A
  • Versatility
  • Objective quantitative inputs
  • Easily traceable equations
  • Easily adjustable input parameters

These advantages enhance the accuracy and flexibility of cost estimates.

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9
Q

What does the R² value indicate in regression analysis?

A

The explanatory power of the model

It is one of several statistical measures derived from regression analysis.

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10
Q

What is the purpose of scatter plots in cost analysis?

A

To visualize relationships between cost drivers and costs

They help identify potential cost drivers through correlation.

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11
Q

What is the definition of parametric estimating according to the Parametric Estimating Handbook (PEH)?

A

A technique that develops cost estimates based on relationships between a project’s characteristics

It includes technical, programmatic, and cost characteristics.

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12
Q

What are the three types of simple multipliers in CERs?

A
  • Rate
  • Factor
  • Ratio

Each type serves a different purpose in estimating costs.

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13
Q

What is the iterative process in data collection?

A

Continually adding data as new sources are identified

This process helps refine cost estimates over time.

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14
Q

What is the role of Subject Matter Experts (SMEs) in cost driver identification?

A

Provide insight into cost drivers based on deep understanding of the system

Their expertise helps identify parameters that logically drive costs.

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15
Q

Fill in the blank: Cost drivers are not to be confused with cost _______.

A

passengers

Cost passengers represent major components with the highest dollar values in the Work Breakdown Structure (WBS).

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16
Q

What does the parametric approach capture?

A

Design decisions or requirements with numerical parameters

It helps predict how costs can be influenced.

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17
Q

What is the first step in developing CERs?

A

Select the Variables

This involves determining the independent variable and corresponding data collection methodology.

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18
Q

What does CER stand for in the context of cost estimation?

A

Cost Estimating Relationship

CERs are used to establish relationships between cost drivers and costs.

19
Q

In the equation y = a + b1x1 + b2x2 + … + bnxn, what do a and b represent?

A
  • a: constant term
  • b: coefficients determined by regression analysis

These values are essential for defining the relationship in a linear model.

20
Q

What is the purpose of validating CERs?

A

To ensure the CER accurately represents data not used in its development

Validation may involve graphical exploration and regression analysis.

21
Q

What does the Prediction Interval (PI) methodology capture?

A

Uncertainty in OLS estimates

PI increases as estimates deviate from the core data set.

22
Q

What does calibration of a CER involve?

A

Resetting the y-intercept to pass through a desired point

Calibration is used to correct analogies or adjust estimates to specific experiences.

23
Q

What is a complex parametric model typically comprised of?

A
  • Multiple CERs
  • Other cost estimating techniques

These models are often used for Life Cycle Cost (LCC) or Total Ownership Cost (TOC) estimates.

24
Q

What is the significance of the R² value in regression analysis?

A

It represents the ratio of explained variation to total variation

A higher R² indicates a better explanatory variable.

25
What is the **hypothesis** in the site activation example?
Site activation cost can be calculated as a function of the number of workstations ## Footnote This relationship is used to develop a cost estimating relationship (CER).
26
What does the term **multicollinearity** refer to?
Significant correlation between two cost drivers ## Footnote It complicates the use of both drivers as explanatory variables.
27
What is the expected outcome when using **multiple regression analysis**?
To create a CER using multiple independent variables ## Footnote This approach is used when multiple cost drivers are believed to explain costs better together.
28
What is the relationship between **cold iron hours** and **crew size** in the multivariate CER example?
Both are positively correlated with purchased services costs ## Footnote Longer port stays and larger crews increase costs.
29
What should be done if new data significantly differs from previous data in a CER?
Investigate reasons for the difference ## Footnote This could involve checking data normalization procedures or changes in technology.
30
What is the **main goal** of a complex parametric model?
To provide a range of cost estimates including risk and uncertainty ## Footnote Outputs should be specific to the analysis goal.
31
What does the **constant term** in a regression model represent?
The y-intercept of the regression equation ## Footnote It is not always statistically significant.
32
What is the **hypothesis** regarding purchased services in the Navy surface ship class example?
Cost will be positively correlated to cold iron hours and crew size ## Footnote Utilities are assumed to be the biggest cost driver.
33
What is the **preferred approach** for the development of cost estimates until actual cost data is available?
Parametric costing techniques ## Footnote Parametric estimating is often considered the hallmark of cost estimators.
34
List the **four steps** involved in the parametric estimating process.
* Collecting data * Identifying cost drivers * Developing CERs * Building a parametric model ## Footnote These steps are essential for creating accurate cost predictions.
35
What does **CER** stand for in the context of parametric estimating?
Cost Estimating Relationships ## Footnote CERs are based on historical data from similar programs to predict project costs.
36
What are **cost drivers** in parametric estimating?
Independent variables that influence the amount of money spent on a project ## Footnote These variables are crucial for developing accurate cost estimates.
37
True or false: **COTS cost models** are generally slower to build and execute than those developed from scratch.
FALSE ## Footnote COTS cost models are generally quicker to build and execute but may lack visibility into the underlying methodology.
38
What do **Cost Response Curves (CRCs)** encapsulate?
An entire cost model in a single equation ## Footnote CRCs relate total or phase costs to specific attributes or decision variables.
39
What is the difference between **uncertainty** and **risk**?
* Uncertainty: Variance a data point might experience * Risk: Measuring uncertainty of a future event related to cost and schedule constraints ## Footnote Risk involves identifying future events, their likelihood, and consequences.
40
What does **sensitivity analysis** address in cost estimation?
Uncertainty in the overall variability of the cost output ## Footnote It determines which inputs have the most impact on cost.
41
What is the purpose of **Monte Carlo simulations** in cost estimation?
Change two or more inputs simultaneously to calculate correlation coefficients ## Footnote These coefficients represent the statistical relationship between inputs and cost output.
42
What does a **Weight Estimating Relationship (WER)** estimate?
The weight of an item by establishing a relationship using driving variables ## Footnote For example, crew size may drive the amount of outfitting required on a ship.
43
What does a **Schedule Estimating Relationship (SER)** predict?
The amount of time it will take to complete a task ## Footnote SERs are used to estimate project timelines.