ENGR.ECONOMIC ANALYSIS
ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN: 9780190931919
Author: NEWNAN
Publisher: Oxford University Press
Question
Book Icon
Chapter 8, Problem 22P

(a)

To determine

To construct:A choice table for interest tables from 0% to 100% assuming doing nothing is allowed.

(a)

Expert Solution
Check Mark

Answer to Problem 22P

From table below, from 0% to 4.7%, Alternative C should be preferred. Between 4.7% to 6.9%; Alternative B should be preferred. Alternative A should be preferred for interest rate between 6.9% to 8.2%.

Explanation of Solution

NPV of Alternative A =[450800(A/P,i,2)](P/A,i,8)

NPV of Alternative B =[4501,500(A/P,i,4)](P/A,i,8)

NPV of Alternative C =450(P/A,i,8)2,750

Choice table for interest from 0% to 100%

    Interest rate(A/P,i,2)(A/P,i,4)(P/A,i,8)ABC
    0% 0.500 0.250 8.000 400 600 850
    1% 0.508 0.256 7.652 337 502 693
    2% 0.515 0.263 7.325 278 411 546
    3% 0.523 0.269 7.020 224 326 409
    4% 0.530 0.275 6.733 174 248 280
    5% 0.538 0.282 6.463 128 174 158
    6% 0.545 0.289 6.210 85 106 44
    7% 0.553 0.295 5.971 45 43 (63)
    8% 0.561 0.302 5.747 8 (17) (164)
    9% 0.568 0.309 5.535 (26) (72) (259)
    10% 0.576 0.315 5.335 (58) (124) (349)
    11% 0.584 0.322 5.146 (88) (172) (434)
    12% 0.592 0.329 4.968 (116) (218) (515)
    13% 0.599 0.336 4.799 (142) (261) (591)
    14% 0.607 0.343 4.639 (166) (301) (663)
    15% 0.615 0.350 4.487 (189) (338) (731)
    16% 0.623 0.357 4.344 (210) (374) (795)
    17% 0.631 0.365 4.207 (230) (407) (857)
    18% 0.639 0.372 4.078 (249) (439) (915)
    19% 0.647 0.379 3.954 (266) (469) (971)
    20% 0.655 0.386 3.837 (283) (497) (1,023)
    21% 0.662 0.394 3.726 (298) (523) (1,073)
    22% 0.670 0.401 3.619 (313) (548) (1,121)
    23% 0.678 0.408 3.518 (326) (572) (1,167)
    24% 0.686 0.416 3.421 (339) (595) (1,210)
    25% 0.694 0.423 3.329 (351) (616) (1,252)
    26% 0.702 0.431 3.241 (363) (637) (1,292)
    27% 0.711 0.439 3.156 (374) (656) (1,330)
    28% 0.719 0.446 3.076 (384) (675) (1,366)
    29% 0.727 0.454 2.999 (394) (692) (1,401)
    30% 0.735 0.462 2.925 (403) (709) (1,434)
    31% 0.743 0.469 2.854 (412) (725) (1,466)
    32% 0.751 0.477 2.786 (420) (740) (1,496)
    33% 0.759 0.485 2.721 (428) (755) (1,526)
    34% 0.767 0.493 2.658 (436) (769) (1,554)
    35% 0.776 0.501 2.598 (443) (782) (1,581)
    36% 0.784 0.509 2.540 (450) (795) (1,607)
    37% 0.792 0.517 2.485 (456) (808) (1,632)
    38% 0.800 0.525 2.432 (462) (819) (1,656)
    39% 0.808 0.533 2.380 (468) (831) (1,679)
    40% 0.817 0.541 2.331 (474) (842) (1,701)
    41% 0.825 0.549 2.283 (479) (852) (1,723)
    42% 0.833 0.557 2.237 (484) (862) (1,743)
    43% 0.842 0.565 2.193 (489) (872) (1,763)
    44% 0.850 0.573 2.150 (494) (881) (1,783)
    45% 0.858 0.582 2.109 (499) (891) (1,801)
    46% 0.867 0.590 2.069 (503) (899) (1,819)
    47% 0.875 0.598 2.030 (507) (908) (1,836)
    48% 0.883 0.606 1.993 (511) (916) (1,853)
    49% 0.892 0.615 1.957 (515) (924) (1,869)
    50% 0.900 0.623 1.922 (519) (931) (1,885)
    51% 0.908 0.631 1.888 (523) (939) (1,900)
    52% 0.917 0.640 1.856 (526) (946) (1,915)
    53% 0.925 0.648 1.824 (529) (953) (1,929)
    54% 0.934 0.657 1.793 (533) (960) (1,943)
    55% 0.942 0.665 1.764 (536) (966) (1,956)
    56% 0.951 0.674 1.735 (539) (973) (1,969)
    57% 0.959 0.682 1.707 (542) (979) (1,982)
    58% 0.968 0.691 1.680 (544) (985) (1,994)
    59% 0.976 0.699 1.653 (547) (991) (2,006)
    60% 0.985 0.708 1.628 (550) (996) (2,017)
    61% 0.993 0.717 1.603 (552) (1,002) (2,029)
    62% 1.002 0.725 1.579 (555) (1,007) (2,039)
    63% 1.010 0.734 1.555 (557) (1,013) (2,050)
    64% 1.019 0.743 1.533 (559) (1,018) (2,060)
    65% 1.027 0.751 1.510 (562) (1,023) (2,070)
    66% 1.036 0.760 1.489 (564) (1,028) (2,080)
    67% 1.045 0.769 1.468 (566) (1,032) (2,089)
    68% 1.053 0.778 1.447 (568) (1,037) (2,099)
    69% 1.062 0.786 1.427 (570) (1,042) (2,108)
    70% 1.070 0.795 1.408 (572) (1,046) (2,116)
    71% 1.079 0.804 1.389 (574) (1,050) (2,125)
    72% 1.088 0.813 1.371 (576) (1,055) (2,133)
    73% 1.096 0.822 1.353 (578) (1,059) (2,141)
    74% 1.105 0.831 1.335 (579) (1,063) (2,149)
    75% 1.114 0.840 1.318 (581) (1,067) (2,157)
    76% 1.122 0.848 1.301 (583) (1,071) (2,164)
    77% 1.131 0.857 1.285 (585) (1,074) (2,172)
    78% 1.140 0.866 1.269 (586) (1,078) (2,179)
    79% 1.148 0.875 1.254 (588) (1,082) (2,186)
    80% 1.157 0.884 1.239 (589) (1,085) (2,193)
    81% 1.166 0.893 1.224 (591) (1,089) (2,199)
    82% 1.175 0.902 1.209 (592) (1,092) (2,206)
    83% 1.183 0.911 1.195 (594) (1,096) (2,212)
    84% 1.192 0.920 1.181 (595) (1,099) (2,218)
    85% 1.201 0.929 1.168 (596) (1,103) (2,224)
    86% 1.210 0.938 1.155 (598) (1,106) (2,230)
    87% 1.218 0.947 1.142 (599) (1,109) (2,236)
    88% 1.227 0.957 1.129 (600) (1,112) (2,242)
    89% 1.236 0.966 1.117 (602) (1,115) (2,247)
    90% 1.245 0.975 1.105 (603) (1,118) (2,253)
    91% 1.254 0.984 1.093 (604) (1,121) (2,258)
    92% 1.262 0.993 1.081 (605) (1,124) (2,264)
    93% 1.271 1.002 1.070 (607) (1,127) (2,269)
    94% 1.280 1.011 1.059 (608) (1,130) (2,274)
    95% 1.289 1.021 1.048 (609) (1,132) (2,279)
    96% 1.298 1.030 1.037 (610) (1,135) (2,283)
    97% 1.307 1.039 1.026 (611) (1,138) (2,288)
    98% 1.316 1.048 1.016 (612) (1,140) (2,293)
    99% 1.324 1.057 1.006 (613) (1,143) (2,297)
    100% 1.333 1.067 0.996 (614) (1,146) (2,302)

(b)

To determine

To construct:A choice table for interest tables from 0% to 100% assuming A, B o r C must be chosen.

(b)

Expert Solution
Check Mark

Answer to Problem 22P

From table below, from 0% to 4.7%, Alternative C should be preferred. Between 4.7% to 6.9%; Alternative B should be preferred. Beyond that Alternative A should be preferred for interest rate between 6.9% to 100%.

Explanation of Solution

NPV of Alternative A =[450800(A/P,i,2)](P/A,i,8)

NPV of Alternative B =[4501,500(A/P,i,4)](P/A,i,8)

NPV of Alternative C =450(P/A,i,8)2,750

Choice table for interest from 0% to 100%

    Interest rate(A/P,i,2)(A/P,i,4)(P/A,i,8)ABC
    0% 0.500 0.250 8.000 400 600 850
    1% 0.508 0.256 7.652 337 502 693
    2% 0.515 0.263 7.325 278 411 546
    3% 0.523 0.269 7.020 224 326 409
    4% 0.530 0.275 6.733 174 248 280
    5% 0.538 0.282 6.463 128 174 158
    6% 0.545 0.289 6.210 85 106 44
    7% 0.553 0.295 5.971 45 43 (63)
    8% 0.561 0.302 5.747 8 (17) (164)
    9% 0.568 0.309 5.535 (26) (72) (259)
    10% 0.576 0.315 5.335 (58) (124) (349)
    11% 0.584 0.322 5.146 (88) (172) (434)
    12% 0.592 0.329 4.968 (116) (218) (515)
    13% 0.599 0.336 4.799 (142) (261) (591)
    14% 0.607 0.343 4.639 (166) (301) (663)
    15% 0.615 0.350 4.487 (189) (338) (731)
    16% 0.623 0.357 4.344 (210) (374) (795)
    17% 0.631 0.365 4.207 (230) (407) (857)
    18% 0.639 0.372 4.078 (249) (439) (915)
    19% 0.647 0.379 3.954 (266) (469) (971)
    20% 0.655 0.386 3.837 (283) (497) (1,023)
    21% 0.662 0.394 3.726 (298) (523) (1,073)
    22% 0.670 0.401 3.619 (313) (548) (1,121)
    23% 0.678 0.408 3.518 (326) (572) (1,167)
    24% 0.686 0.416 3.421 (339) (595) (1,210)
    25% 0.694 0.423 3.329 (351) (616) (1,252)
    26% 0.702 0.431 3.241 (363) (637) (1,292)
    27% 0.711 0.439 3.156 (374) (656) (1,330)
    28% 0.719 0.446 3.076 (384) (675) (1,366)
    29% 0.727 0.454 2.999 (394) (692) (1,401)
    30% 0.735 0.462 2.925 (403) (709) (1,434)
    31% 0.743 0.469 2.854 (412) (725) (1,466)
    32% 0.751 0.477 2.786 (420) (740) (1,496)
    33% 0.759 0.485 2.721 (428) (755) (1,526)
    34% 0.767 0.493 2.658 (436) (769) (1,554)
    35% 0.776 0.501 2.598 (443) (782) (1,581)
    36% 0.784 0.509 2.540 (450) (795) (1,607)
    37% 0.792 0.517 2.485 (456) (808) (1,632)
    38% 0.800 0.525 2.432 (462) (819) (1,656)
    39% 0.808 0.533 2.380 (468) (831) (1,679)
    40% 0.817 0.541 2.331 (474) (842) (1,701)
    41% 0.825 0.549 2.283 (479) (852) (1,723)
    42% 0.833 0.557 2.237 (484) (862) (1,743)
    43% 0.842 0.565 2.193 (489) (872) (1,763)
    44% 0.850 0.573 2.150 (494) (881) (1,783)
    45% 0.858 0.582 2.109 (499) (891) (1,801)
    46% 0.867 0.590 2.069 (503) (899) (1,819)
    47% 0.875 0.598 2.030 (507) (908) (1,836)
    48% 0.883 0.606 1.993 (511) (916) (1,853)
    49% 0.892 0.615 1.957 (515) (924) (1,869)
    50% 0.900 0.623 1.922 (519) (931) (1,885)
    51% 0.908 0.631 1.888 (523) (939) (1,900)
    52% 0.917 0.640 1.856 (526) (946) (1,915)
    53% 0.925 0.648 1.824 (529) (953) (1,929)
    54% 0.934 0.657 1.793 (533) (960) (1,943)
    55% 0.942 0.665 1.764 (536) (966) (1,956)
    56% 0.951 0.674 1.735 (539) (973) (1,969)
    57% 0.959 0.682 1.707 (542) (979) (1,982)
    58% 0.968 0.691 1.680 (544) (985) (1,994)
    59% 0.976 0.699 1.653 (547) (991) (2,006)
    60% 0.985 0.708 1.628 (550) (996) (2,017)
    61% 0.993 0.717 1.603 (552) (1,002) (2,029)
    62% 1.002 0.725 1.579 (555) (1,007) (2,039)
    63% 1.010 0.734 1.555 (557) (1,013) (2,050)
    64% 1.019 0.743 1.533 (559) (1,018) (2,060)
    65% 1.027 0.751 1.510 (562) (1,023) (2,070)
    66% 1.036 0.760 1.489 (564) (1,028) (2,080)
    67% 1.045 0.769 1.468 (566) (1,032) (2,089)
    68% 1.053 0.778 1.447 (568) (1,037) (2,099)
    69% 1.062 0.786 1.427 (570) (1,042) (2,108)
    70% 1.070 0.795 1.408 (572) (1,046) (2,116)
    71% 1.079 0.804 1.389 (574) (1,050) (2,125)
    72% 1.088 0.813 1.371 (576) (1,055) (2,133)
    73% 1.096 0.822 1.353 (578) (1,059) (2,141)
    74% 1.105 0.831 1.335 (579) (1,063) (2,149)
    75% 1.114 0.840 1.318 (581) (1,067) (2,157)
    76% 1.122 0.848 1.301 (583) (1,071) (2,164)
    77% 1.131 0.857 1.285 (585) (1,074) (2,172)
    78% 1.140 0.866 1.269 (586) (1,078) (2,179)
    79% 1.148 0.875 1.254 (588) (1,082) (2,186)
    80% 1.157 0.884 1.239 (589) (1,085) (2,193)
    81% 1.166 0.893 1.224 (591) (1,089) (2,199)
    82% 1.175 0.902 1.209 (592) (1,092) (2,206)
    83% 1.183 0.911 1.195 (594) (1,096) (2,212)
    84% 1.192 0.920 1.181 (595) (1,099) (2,218)
    85% 1.201 0.929 1.168 (596) (1,103) (2,224)
    86% 1.210 0.938 1.155 (598) (1,106) (2,230)
    87% 1.218 0.947 1.142 (599) (1,109) (2,236)
    88% 1.227 0.957 1.129 (600) (1,112) (2,242)
    89% 1.236 0.966 1.117 (602) (1,115) (2,247)
    90% 1.245 0.975 1.105 (603) (1,118) (2,253)
    91% 1.254 0.984 1.093 (604) (1,121) (2,258)
    92% 1.262 0.993 1.081 (605) (1,124) (2,264)
    93% 1.271 1.002 1.070 (607) (1,127) (2,269)
    94% 1.280 1.011 1.059 (608) (1,130) (2,274)
    95% 1.289 1.021 1.048 (609) (1,132) (2,279)
    96% 1.298 1.030 1.037 (610) (1,135) (2,283)
    97% 1.307 1.039 1.026 (611) (1,138) (2,288)
    98% 1.316 1.048 1.016 (612) (1,140) (2,293)
    99% 1.324 1.057 1.006 (613) (1,143) (2,297)
    100% 1.333 1.067 0.996 (614) (1,146) (2,302)

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!
Students have asked these similar questions
Test Preparation QUESTION 2 [20] 2.1 Body Mass Index (BMI) is a summary measure of relative health. It is calculated by dividing an individual's weight (in kilograms) by the square of their height (in meters). A small sample was drawn from the population of UWC students to determine the effect of exercise on BMI score. Given the following table, find the constant and slope parameters of the sample regression function of BMI = f(Weekly exercise hours). Interpret the two estimated parameter values. X (Weekly exercise hours) Y (Body-Mass index) QUESTION 3 2 4 6 8 10 12 41 38 33 27 23 19 Derek investigates the relationship between the days (per year) absent from work (ABSENT) and the number of years taken for the worker to be promoted (PROMOTION). He interviewed a sample of 22 employees in Cape Town to obtain information on ABSENT (X) and PROMOTION (Y), and derived the following: ΣΧ ΣΥ 341 ΣΧΥ 176 ΣΧ 1187 1012 3.1 By using the OLS method, prove that the constant and slope parameters of the…
QUESTION 2 2.1 [30] Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure level when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 2 Y (BLOOD) 4 6 8 10 141 138 133 127 123 2.1.1 By using the OLS method and the information above derive the values for parameters B1 and B2. 2.1.2 Derive the RSS (sum of squares for the residuals). 2.1.3 Hence, calculate ô 2.2 2.3 (6) (3) Further, she replicates her study and collects data from 122 students from a rival university. She derives the residuals followed by computing skewness (S) equals -1.25 and kurtosis (K) equals 8.25 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.05. (5) Upon tasked with deriving estimates of ẞ1, B2, 82 and the standard errors (SE) of ẞ1 and B₂ for the replicated data.…
If you were put in charge of ensuring that the mining industry in canada becomes more sustainable over the course of the next decade (2025-2035), how would you approach this? Come up with (at least) one resolution for each of the 4 major types of conflict: social, environmental, economic, and political
Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Managerial Economics: Applications, Strategies an...
Economics
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:Cengage Learning
Text book image
Essentials of Economics (MindTap Course List)
Economics
ISBN:9781337091992
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Text book image
Brief Principles of Macroeconomics (MindTap Cours...
Economics
ISBN:9781337091985
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Text book image
Exploring Economics
Economics
ISBN:9781544336329
Author:Robert L. Sexton
Publisher:SAGE Publications, Inc
Text book image
Microeconomics A Contemporary Intro
Economics
ISBN:9781285635101
Author:MCEACHERN
Publisher:Cengage
Text book image
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning