1. Sensitivity analysis determines how changes in input parameters impact the output measures of an economic analysis. Parameters like costs, salvage values, and lives can impact measures like net present worth.
2. Three common methods for analyzing sensitivity are: plotting parameter values against output measures, using a pessimistic, most likely, and optimistic estimate for each parameter, and determining the expected value when probabilities of different outcomes are known.
3. The expected value approach sums the product of each possible outcome and its probability to determine the long-run average outcome when variability exists. This allows decisions to account for economic uncertainty.
Practically Delivering Energy-ReducingTechnology To Optimise Efficiency On T...Andy_Watson_Sim
This presentation was given at the ENDS conference in 2006. It looks at the various ways in which energy management and conservation can be enhanced based on working in strict financial boundaries. It also explores the use of CUSUM to establish when equipment is going out of normal working conditions.
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxdirkrplav
Instructions:
View CAAE Stormwater video "Too Big for Our Ditches"
http://www.ncsu.edu/wq/videos/stormwater%20video/SWvideo.html
Explain how impermeable surfaces in the urban environment impact the stream network in a river basin. Why is watershed management an important consideration in urban planning? Unload you essay (200-400 words).
Neal.LarryBUS457A7.docx
Question 1
Problem:
It is not certain about the relationship between age, Y, as a function of systolic blood pressure.
Goal:
To establish the relationship between age Y, as a function of systolic blood pressure.
Finding/Conclusion:
Based on the available data, the relationship is obtained and shown below:
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 2933 2933.1 21.33 0.000
SBP 1 2933 2933.1 21.33 0.000
Error 28 3850 137.5
Lack-of-Fit 21 2849 135.7 0.95 0.575
Pure Error 7 1002 143.1
Total 29 6783
Model Summary
S R-sq R-sq(adj) R-sq(pred)
11.7265 43.24% 41.21% 3.85%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -18.3 13.9 -1.32 0.198
SBP 0.4454 0.0964 4.62 0.000 1.00
Regression Equation
Age = -18.3 + 0.4454 SBP
It is found that there is an outlier in the dataset, which significantly affect the regression equation. As a result, the outlier is removed, and the regression analysis is run again.
Regression Analysis: Age versus SBP
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 1 4828.5 4828.47 66.81 0.000
SBP 1 4828.5 4828.47 66.81 0.000
Error 27 1951.4 72.27
Lack-of-Fit 20 949.9 47.49 0.33 0.975
Pure Error 7 1001.5 143.07
Total 28 6779.9
Model Summary
S R-sq R-sq(adj) R-sq(pred)
8.50139 71.22% 70.15% 66.89%
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Constant -59.9 12.9 -4.63 0.000
SBP 0.7502 0.0918 8.17 0.000 1.00
Regression Equation
Age = -59.9 + 0.7502 SBP
The p-value for the model is 0.000, which implies that the model is significant in the prediction of Age. The R-square of the model is 70.2%, implies that 70.2% of variation in age can be explained by the model
Recommendation:
The regression model Age = -59.9 +0.7502 SBP can be used to predict the Age, such that over 70% of variation in Age can be explained by the model.
Question 2
Problem:
It is not sure that whether the factors X1 to X4 which represents four different success factors have any influences on the annual savings as a result of CRM implementation.
Goal:
To determine which of the success factors are most significant in the prediction of a successful CRM program, and develop the corresponding model for the prediction of CRM savings.
Finding/Conclusion:
Based on the available da.
Systematic Economic Analysis Technique for analysisNaganna Chetty
Ranking Methods or Incremental Methods
Present Worth
Future Worth
Annual Worth
Capitalized Worth
Discounted Payback Period
Payback Period
Incremental Methods
Internal Rate of Return
External Rate of Return
Modified Internal Rate of Return
Benefit/Cost Ratio
Project Week 7
1.
Both graphs shows a possibility of negative linear relationship between the cost and Annual % ROI in both majors.
2.
Regression analysis for business major
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9701
R Square
0.9410
Adjusted R Square
0.9377
Standard Error
0.0027
Observations
20.0000
ANOVA
df
SS
MS
F
Significance F
Regression
1.0000
0.0022
0.0022
287.2207
0.0000
Residual
18.0000
0.0001
0.0000
Total
19.0000
0.0023
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
0.11803988
0.00242949
48.58621379
0.00000000
0.11293570
0.12314405
0.11293570
0.12314405
Cost
-0.00000021
0.00000001
-16.94758619
0.00000000
-0.00000024
-0.00000019
-0.00000024
-0.00000019
The regression equation is
And the Adjusted value is 0.9377.
This means that 93.77 % of annual % ROI is explained by Cost.
Regression analysis for engineering major
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.97543117
R Square
0.951465967
Adjusted R Square
0.948769632
Standard Error
0.003304954
Observations
20
ANOVA
df
SS
MS
F
Significance F
Regression
1
0.003854341
0.003854341
352.8737765
2.83396E-13
Residual
18
0.000196609
1.09227E-05
Total
19
0.00405095
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
0.126782012
0.002020843
62.73719176
1.56075E-22
0.122536379
0.131027646
0.122536379
0.131027646
Cost
-2.1455E-07
1.14214E-08
-18.78493483
2.83396E-13
-2.38545E-07
-1.90554E-07
-2.38545E-07
-1.90554E-07
The regression equation is
And the Adjusted value is 0.948769632.
This means that 94.88 % of annual % ROI is explained by Cost.
3.
1. Estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.
For engineering major
Therefore the predicted value is
For business major
Therefore the predicted value is
2. To test the hypothesis that
H0: β1 = 0
Ha: β1 ≠ 0
For business major, we have the t-statistic as -16.94758619 with a p-value being 0.00. Since this value is less than 0.05, we reject the null hypothesis and conclude that β1 is significant (different from zero).
For engineering major, we have the t-statistic as -18.78493483with a p-value being 0.00. Since this value is less than 0.05, we reject the null hypothesis and conclude that β1 is significant (different from zero).
3. From the output above, all the regression estimates from both majors are significant since their corresponding p value are less than 0.05. In both cases, the coefficient of determination is high (more than 90%) indicating that most of the variation in annual % ROI is explained by cost.
The plots indicate a possibility of negative linear relationship, which is confirmed by the regression coefficient estimates. These estimates are significant as confirmed by the test of hypotheses done above. This shows that a linear regression is fit to model the ...
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
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how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
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Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
how to sell pi coins in all Africa Countries.DOT TECH
Yes. You can sell your pi network for other cryptocurrencies like Bitcoin, usdt , Ethereum and other currencies And this is done easily with the help from a pi merchant.
What is a pi merchant ?
Since pi is not launched yet in any exchange. The only way you can sell right now is through merchants.
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Latino Buying Power - May 2024 Presentation for Latino CaucusDanay Escanaverino
Unlock the potential of Latino Buying Power with this in-depth SlideShare presentation. Explore how the Latino consumer market is transforming the American economy, driven by their significant buying power, entrepreneurial contributions, and growing influence across various sectors.
**Key Sections Covered:**
1. **Economic Impact:** Understand the profound economic impact of Latino consumers on the U.S. economy. Discover how their increasing purchasing power is fueling growth in key industries and contributing to national economic prosperity.
2. **Buying Power:** Dive into detailed analyses of Latino buying power, including its growth trends, key drivers, and projections for the future. Learn how this influential group’s spending habits are shaping market dynamics and creating opportunities for businesses.
3. **Entrepreneurial Contributions:** Explore the entrepreneurial spirit within the Latino community. Examine how Latino-owned businesses are thriving and contributing to job creation, innovation, and economic diversification.
4. **Workforce Statistics:** Gain insights into the role of Latino workers in the American labor market. Review statistics on employment rates, occupational distribution, and the economic contributions of Latino professionals across various industries.
5. **Media Consumption:** Understand the media consumption habits of Latino audiences. Discover their preferences for digital platforms, television, radio, and social media. Learn how these consumption patterns are influencing advertising strategies and media content.
6. **Education:** Examine the educational achievements and challenges within the Latino community. Review statistics on enrollment, graduation rates, and fields of study. Understand the implications of education on economic mobility and workforce readiness.
7. **Home Ownership:** Explore trends in Latino home ownership. Understand the factors driving home buying decisions, the challenges faced by Latino homeowners, and the impact of home ownership on community stability and economic growth.
This SlideShare provides valuable insights for marketers, business owners, policymakers, and anyone interested in the economic influence of the Latino community. By understanding the various facets of Latino buying power, you can effectively engage with this dynamic and growing market segment.
Equip yourself with the knowledge to leverage Latino buying power, tap into their entrepreneurial spirit, and connect with their unique cultural and consumer preferences. Drive your business success by embracing the economic potential of Latino consumers.
**Keywords:** Latino buying power, economic impact, entrepreneurial contributions, workforce statistics, media consumption, education, home ownership, Latino market, Hispanic buying power, Latino purchasing power.
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how can I sell my pi coins for cash in a pi APPDOT TECH
You can't sell your pi coins in the pi network app. because it is not listed yet on any exchange.
The only way you can sell is by trading your pi coins with an investor (a person looking forward to hold massive amounts of pi coins before mainnet launch) .
You don't need to meet the investor directly all the trades are done with a pi vendor/merchant (a person that buys the pi coins from miners and resell it to investors)
I Will leave The telegram contact of my personal pi vendor, if you are finding a legitimate one.
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#pi network
#pi coins
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how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
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what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
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1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
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The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
1. Engineering Economy
IPE - 3115
Course Teacher
Ridwan Mustofa
Lecturer
Dept of Industrial Engineering and Management
Khulna University of Engineering & Technology
2. Sensitivity
• Sensitivity is concerned with variability
• Variance associated with input parameters impact the output variable the
most
• The MARR as a parameter
• Interest rates and other interest factors tend to be more stable from project to project
• The analyst can limit the range over which these type of parameters vary
3. Determining Sensitivity to Parameter Variation
• A parameter is a variable or factor for which an estimate or stated value is
required to conduct the analysis at hand.
• Examples:
• P, F, A;
• i, n;
• Future costs, salvages, etc.
• Sensitivity analysis
• Seeks to determine what parameters matter most in an economic analysis
4. Visualizing the Impact of Parameters
• Plot the PW, AW, or ROR vs. input parameters
• Steps
• Pre-select the desired input parameters
• Select the probable range and increment of variation for each
parameter
• Select the measure of worth
• Compute the results for each parameter
• Graphically display the results by plotting the parameter vs. the
measure of worth
5. Problem 1
Wild Rice, Inc. expects to purchase a new asset for automated rice handling. Most
likely estimates are a first cost of $80,000, zero salvage value, and a cash flow
before taxes (CFBT) per year t that follows the relation $27,000 − 2000t. The
MARR for the company varies over a wide range from 10% to 25% per year for
different types of investments. The economic life of similar machinery varies from
8 to 12 years. Evaluate the sensitivity of PW by varying
(a) MARR, while assuming a constant n value of 10 years
7. Problem 2
A company planning to borrow $10.5 million for a plant expansion is
not sure what the interest rate will be when it applies for the loan. The
rate could be as low as 10% per year or as high as 12% per year for a 5-
year loan. The company will only move forward with the project if the
annual worth of the expansion is below $5.7 million. The M&O cost is
fixed at $3.1 million per year. The salvage could be $2 million if the
interest rate is 10% or $2.5 million if it is 12% per year. Is the decision
to move forward with the project sensitive to the interest rate and
salvage value estimates?
8. Solution
Required AW < $5.7 million
10%:
AW= -10,500,000(A/P,10%,5) – 3,100,000 + 2,000,000(A/F,10%,5)
= -10,500,000(0.26380) – 3,100,000 + 2,000,000(0.16380)
= $-5,542,300 (< $-5,700,000)
12%:
AW = -10,500,000(A/P,12%,5) – 3,100,000 + 2,500,000(A/F,12%,5)
= -10,500,000(0.27741) – 3,100,000 + 2,500,000(0.15741)
= $-5,619,280 (< $-5,700,000)
The decision is not sensitive since both AW values are below $5.7 million.
9. Problem 3
An engineer collected average cost and revenue data for Arenson’s FC1 handheld
financial calculator.
Fixed cost $300,000 per year
Cost per unit $40
Revenue per unit $70
(a) What is the range in breakeven quantity if there is possible variation in the fixed
cost from $200,000 to $400,000 per year? (Use $50,000 increments.)
(b) What is the incremental change in the breakeven quantity for each $50,000
change in fixed cost?
10. Solution
(a)
Q = FC/(70-40)
= FC/30
_ FC, $ QBE, units
200,000 6667
250,000 8333
300,000 10,000
350,000 11,667
400,000 13,333
(b) The change in QBE is 1667 units for each $50,000 increase in FC.
11. Formalized Sensitivity Analysis Using Three
Estimates
• Given an input parameter of interest
• Provide three estimates for that parameter
• A pessimistic estimate, P
• A most likely estimate, ML
• An optimistic estimate, O
• Note: This approach comes from PERT/CPM analysis and is based upon
the beta distribution
12. Three Estimates: Example 18.3
• Three alternatives (A, B, C) with 4 Parameters
• First cost, salvage value, AOC, and life
• For each parameter we formulate
Parameter
P pessimistic estimate
ML most likely estimate
O optimistic estimate
13. Problem 4
An engineer is evaluating three alternatives for new equipment at Emerson
Electronics. She has made three estimates for the salvage value, annual operating
cost, and life. The estimates are presented on an alternative-by-alternative basis in
Table. For example, alternative B has pessimistic estimates of S = $500,
AOC = $4000, and n = 2 years. The first costs are known, so they have the same
value. Perform a sensitivity analysis and determine the most economical alternative,
using AW analysis at a MARR of 12% per year.
14. Strategy First Cost SV AOC Life
Alt A.
P -20,000 0 -11,000 3
ML -20,000 0 -9,000 5
O -20,000 0 -5,000 8
Alt. B
P -15,000 500 -4,000 2
ML -15,000 1,000 -3,500 4
O -15,000 2,000 -2,000 7
Alt. C
P -30,000 3,000 -8,000 3
ML -30,000 3,000 -7,000 7
O -30,000 3,000 -3,500 9
AWB-ML = -15000 (A/P, 12%,4) + 1000 (A/F, 12%,4)
-3500
= -15000 * 0.32923 + 1000 * 0.20923
– 3500
= $-8229.22
Similarly, Find all the Annual worth of 3 alternatives
and 3 possibilities.
16. Economic Variability and The Expected Value
• Expected Value
• Long-run average based upon occurrence and probability of
occurrence
• Definition of Expected Value
1
( ) ( )
m
i i
i
E X X P X
=
=
Xi = value of the variable X for i from 1 to m different values
P(Xi) = probability that a specific value of X will occur
Subject to:
1
( ) 1.0
m
i
i
P X
=
=
17. ANA airlines plans to offer several new electronic services on flights between
Tokyo and selected European destinations. The marketing director estimates that
for a typical 24-hour period there is a 50% chance of having a net cash flow of
$5000 and a 35% chance of $10,000. He also estimates there is a small 5% chance
of no cash flow and a 10% chance of a loss of $1000, which is the estimated extra
personnel and utility costs to offer the services. Determine the expected net cash
flow.
Solution
Let NCF be the net cash flow in dollars, and let P (NCF) represent the associated
probabilities.
E (NCF) = 5000*(0.5) + 10,000*(0.35) + 0*(0.05) + 1000*(0.1)
= $5900
18. Problem:
Lite-Weight Wheelchair Company has a substantial investment in tubular steel bending equipment. A
new piece of equipment costs $5000 and has a life of 3 years. Estimated cash flows depend on
economic conditions classified as receding, stable, or expanding. A probability is estimated that each
of the economic conditions will prevail during the 3-year period. Apply expected value and PW
analysis to determine if the equipment should be purchased. Use a MARR of 15% per year.
19. Solution:
The PW values for the three scenarios are
PW R = -5000 + 2500( P/F ,15%,1) + 2000( P/F ,15%,2) + 1000( P/F ,15%,3)
= -5000 + 4344
= -$656
PWS = -5000 + 5708
= $708
PW E = -5000 + 6309
=$1309
Only in a receding economy will the cash flows not return the 15% to justify the investment.
The expected present worth is
E(PW) = 656*(0.4) + 708*(0.4) + 1309*(0.2)
=$283
At 15%, E (PW)> 0; the equipment is justified, using an expected value analysis.
20. For Practice from EXERCISE of the Book Engineering Economy
by Leeland and Blank (7th Edition) :
Sensitivity to Parameter Variation: 18.4,18.5,18.6,18.7,18.9,18.12,18.13
Three Estimates: 18.19,18.20,18.21,18.22
Expected Values: 18.24,18.26, 18.32,18.33,18.34
Decision Trees: