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Links to Estimation Techniques
Tim Shaughnessy, Chapter 7 -- Demand Estimation and
Forecasting,
available from https://www.youtube.com/watch?v=daiTjsnznjM
Matt Kermode, Explanation of Regression Results, Available at
https://www.youtube.com/watch?v=c5blVUkkjTM
Jason Delaney, Introduction to Multiple Regression, Available
at
https://www.youtube.com/watch?v=eLpfEml4Vak
Session Long Project
PART 1
In 2006 the CEO of Bear Sterns, James Caynes, received a
compensation
package of $34 million. The following year Bear Sterns cost
$2.7 billion to the
taxpayers. In 2006, the CEO of Lehman Brothers received a
compensation
package of $27 million. On September 15, 2008, Lehman
Brothers filed for
bankruptcy. The collapse of Lehman Brothers is seen by many
as the key
event that sparked the Global Financial Crisis. In 2006, the
CEO of Citigroup,
Charles Prince, received a compensation package of $25
million. Since then
the stock price has fallen from $50 a share to $3.5 a share. The
CEO of
Countrywide Financial, Angelo Mozilo, did even better. His
compensation
package was $43 million. Angelo Mozilo and two other top
executives were
charged by the Security and Exchange Commission (SEC) with
fraud.
According to the SEC, from 2005 through 2007, Countrywide
Financial
engaged in an unprecedented expansion of its underwriting
guidelines and
was writing riskier and riskier loans, which these senior
executives were
warned might ultimately curtail the company's ability to sell
them.
Countrywide Financial was the third biggest originator of
subprime mortgages
and the nation's leader in subprime mortgage- backed securities.
The tragedy
is that these individuals did not make decisions that were in
their companies’
best interest. Why? What went wrong? What caused the relation
between the
CEO and the stockholders to go so badly awry? Discuss.
PART 2
Listen
https://tlc.trident.edu/content/enforced/76908-BUS530-
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An important component of this course is experience with
analyzing
economic data at the managerial level. The computer is a
perfect tool for
manipulating data and performing statistical analyses. While the
focus of BUS
530 is not on learning statistics, this course will utilize and
improve your
computer skills with a computer assignment designed to
illustrate the
interconnections between data, information and managerial
decisions.
The primary software will be Microsoft Excel and the Excel
statistical add-in:
Data Analysis. Microsoft Excel 2010 (and previous versions)
provides a set
of data analysis tools called Analysis ToolPak which you can
use to save
steps when you develop complex statistical analyses. You
provide the data
and parameters for each analysis; the tool uses the appropriate
statistical
macro functions and then displays the results in an output table.
The Analysis
ToolPak is a Microsoft Office Excel add-in program that is
available when
you install Microsoft Office or Excel. To use the Analysis
ToolPak in Excel,
however, you need to load it first. Click the Microsoft Office
Button, and
then click Excel Options. Click Add-Ins, and then in the
Manage box,
select Excel Add-ins. Click Go. In the Add-Ins available box,
select
the Analysis ToolPak check box, and then click OK. (If
Analysis ToolPak is
not listed in the Add-Ins available box, click Browse to locate
it.) If you get
prompted that the Analysis ToolPak is not currently installed on
your
computer, click Yes to install it. After you load the Analysis
ToolPak, the Data
Analysis command is available in the Analysis group on the
Data tab.
In the Module 4 SLP assignment you are also asked to estimate
a market
demand or a cost function (your choice) using the tools of
regression analysis
and the regression software outlined above.
The first data set (demand for housing) is used to apply the
hedonic approach
to demand estimation, while the second data set (demand for
cigarettes) is
used to apply the classical approach. Finally, the third dataset
(cost of
electricity) uses a well known dataset to estimate the cost of
electricity
production. In all cases the data is cross-sectional data.
The estimation of demand follows two approaches:
the classical approach, whereby the quantity demanded of a
product is
explained by its own price, the prices of related goods
(complements and
substitutes), income, tastes and preferences, and the size of the
population, among others;
the hedonic approach, whereby the price of an asset (car, house)
is
explained by the characteristics of the asset itself (i.e., the price
of housing
depends on the number of bedrooms, the number of bathroom,
the view
from the house (using a dummy variable: 1 = view, 0 = no
view), the
square footage of the house, the square footage of the lot, etc).
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PART 2: Assignment
You are given the data on housing. The data are collected from
the real
estate pages of the Boston Globe during 1990. These are homes
that sold in
the Boston, MA area. The source of the data is Wooldridge
(2009)
Introductory Econometrics: A Modern Approach, 4th Edition,
Cengage
VARIABLES
1. price price, in dollars
2. assess assessed value, in dollars
3. bdrms number of bedrooms
4. lotsize size of lot, square feet
5. sqrft size of house, square feet
Cut and paste in Excel the data set. Then, in Excel, obtain the
logarithmic
transformation of the following variables using the Excel
function =LOG( . )
6. lprice log(price) : dependent variable
7. lassess log(assess) : independent variable
8. llotsize log(lotsize) : independent variable
9. lsqrft log(sqrft) : independent variable
DATASET 1
OBSERVATIONS
PRICE SQRFT ASSESS BDRMS LOTSIZE
300 2438 349.1 4 6126
370 2076 351.5 3 9903
191 1374 217.7 3 5200
195 1448 231.8 3 4600
373 2514 319.1 4 6095
466 2754 414.5 5 8566
332 2067 367.8 3 9000
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315 1731 300.2 3 6210
206 1767 236.1 3 6000
240 1890 256.3 3 2892
285 2336 314 4 6000
300 2634 416.5 5 7047
405 3375 434 3 12237
212 1899 279.3 3 6460
265 2312 287.5 3 6519
227 1760 232.9 4 3597
240 2000 303.8 4 5922
285 1774 305.6 3 7123
268 1376 266.7 3 5642
310 1835 326 4 8602
266 2048 294.3 3 5494
270 2124 318.8 3 7800
225 1768 294.2 3 6003
150 1732 208 4 5218
247 1440 239.7 3 9425
275 1932 294.1 3 6114
230 1932 267.4 3 6710
343 2106 359.9 3 8577
477 3529 478.1 7 8400
350 2051 355.3 4 9773
230 1573 217.8 4 4806
335 2829 385 4 15086
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251 1630 224.3 3 5763
235 1840 251.9 4 6383
361 2066 354.9 4 9000
190 1702 212.5 4 3500
360 2750 452.4 4 10892
575 3880 518.1 5 15634
209 1854 289.4 4 6400
225 1421 268.1 2 8880
246 1662 278.5 3 6314
713 3331 655.4 5 28231
248 1656 273.3 4 7050
230 1171 212.1 3 5305
375 2293 354 5 6637
265 1764 252.1 3 7834
313 2768 324 3 1000
417 3733 475.5 4 8112
253 1536 256.8 3 5850
315 1638 279.2 4 6660
264 1972 313.9 3 6637
255 1478 279.8 2 15267
210 1408 198.7 3 5146
180 1812 221.5 3 6017
250 1722 268.4 3 8410
250 1780 282.3 4 5625
209 1674 230.7 4 5600
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258 1850 287 4 6525
289 1925 298.7 3 6060
316 2343 314.6 4 5539
225 1567 291 3 7566
266 1664 286.4 4 5484
310 1386 253.6 6 5348
471 2617 482 5 15834
335 2321 384.3 4 8022
495 2638 543.6 4 11966
279 1915 336.5 4 8460
380 2589 515.1 4 15105
325 2709 437 4 10859
220 1587 263.4 3 6300
215 1694 300.4 3 11554
240 1536 250.7 3 6000
725 3662 708.6 5 31000
230 1736 276.3 3 4054
306 2205 388.6 2 20700
425 1502 252.5 3 5525
318 1696 295.2 4 92681
330 2186 359.5 3 8178
246 1928 276.2 4 5944
225 1294 249.8 3 18838
111 1535 202.4 4 4315
268 1980 254 3 5167
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244 2090 306.8 4 7893
295 1837 318.3 3 6056
236 1715 259.4 3 5828
202 1574 258.1 3 6341
219 1185 232 2 6362
242 1774 252 4 4950
Please keep in mind that when you interpret a regression
coefficient, you are
assuming that all the other variables remain constant.
A Note on ANOVA
The ANOVA table is used to test the null hypothesis that all
regression
coefficients (excluding the intercept term) are equal to zero
against the
alternative hypothesis that at least one is different from zero.
This test is
known as the F test for regression. The F test is computed as
follows, under
the assumption that the null hypothesis is true:
https://tlc.trident.edu/content/enforced/76908-BUS530-
JUN2016FT-1/...
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The F statistics has two sets of degrees of freedom: numerator
(attached to
the Regression SS) and denominator degrees of freedom
(attached to
Residual SS).
Excel computes the F statistic for you in the ANOVA table, and
computes in
the last column the level of significance (p-value). If the level
of significance
of the test is less than 5%, you will reject at the 5% level the
null hypothesis
that all regression parameters are zero. On the other hand, if the
level of
significance is greater than 5%, you will accept (i.e., fail to
reject) the null
hypothesis that all regression parameters are zero.
SLP Assignment Expectations
In the Module 4 SLP Assignment, you are expected to:
Describe the purpose of the paper and provide a conclusion.
Present information in a professional manner.
Answer the SLP Assignment question clearly and provide
necessary
details.
Write clearly and correctly—that is, no poor sentence structure,
no spelling
and grammar mistakes, and no run-on sentences.
Provide citations to support your argument and place references
on a
separate page. (All the sources that you listed in the references
section
must be cited in the paper.) Use APA format to provide
citations and
references [http://owl.english.purdue.edu/owl/resource/560/01/].
Type and double-space the paper.
Whenever appropriate, please use Excel to show supporting
computations
in an appendix, present economic information in tables, and use
the data
to answer follow-up questions.
https://tlc.trident.edu/content/enforced/76908-BUS530-
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1. (TCO 1) The engineering prefix symbol for 1 x 10+6 is
(Points : 6)
k.
M.
m.
ì.
Question 2. 2. (TCO 1) A series circuit consists of a 100 , a 1 k
and a 1 M resistor. What is the total resistance? (Points : 6)
< 100
313.3
510
> 1 M
Question 3. 3. (TCO 1) A 100 resistor is in parallel with a 220
resistor. The total resistance of the circuit is (Points : 6)
< 100 .
>100 and <220 .
> 220 .
> 320 .
Question 4. 4. (TCO 1) Express 5000 kV as MV. (Points : 6)
0.005 MV
5.0 MV
50 MV
50,000 MV
Question 5. 5. (TCO 1) What is the result of 250 mV/50 µ V?
(Points : 6)
5
50
500
5,000
Question 6. 6. (TCO 1) A series circuit has a voltage supply of
6 V and a resistor of 2.0 kΩ. What is the amount of power
dissipated by the resistor? (Points : 6)
0.003 W
0.018 W
12 kW
72 kW
Question 7. 7. (TCO 1) A two resistor voltage divider consists
of a 10 k and a 15 k ohm resistor, with the 10 k resistor
connected to the voltage source and the 15 k resistor connected
to ground. If the output voltage is 2.5 V, what is the value of
the voltage source? (Points : 6)
2.500 V
4.167 V
6.25 V
7.125 V
Question 8. 8. (TCO 1) Express 50 milliamp in engineering
notation. (Points : 6)
50 x 10-3 A
5.0 x 10-2 A
5.0 A
50 x 10+3 A
Question 9. 9. (TCO 1) An uncharged capacitor and resistor are
connected in series with a 12 V source and a switch. What is the
voltage across the capacitor after the switch is closed and the
capacitor is fully charged? (Points : 6)
0 V
6.0 V
12 V
24 V
Question 10. 10. (TCO 1) A perfect capacitor with C = 0.3 µF is
connected in series to a current source with and peak value of
10 V. What is the reactance of the capacitor? (Points : 6)
132.6
25.13 m
−25.13
−132.6 m
Question 11. 11. (TCO 1) What is the relationship between
current (I) and voltage (V) in a circuit consisting of a capacitor
in series with a resistor? (Points : 6)
I and V are in phase across the capacitor.
I leads V across the resistor.
V leads I across the capacitor.
I and V are in phase across the resistor.
Question 12. 12. (TCO 1) If the output impedance of a certain
driving circuit is 50 - j10 , what value of load impedance will
result in the maximum power to the load? (Points : 6)
50 + j10
50 - j100
10 + j50
10 – j50
Question 13. 13. (TCO 1) Find the complex conjugate of 250 +
j433 in polar form. (Points : 6)
250 60
250 -60
500 60
500 -60
Question 14. 14. (TCO 1) A voltage source has the values VS =
25 V and RS = 5 . What are the values for the equivalent current
source? (Points : 6)
5 A, 5
25 A, 5
5 A, 125
5 A, 25
1. (TCO 1) In a high-pass filter, XC = 500 and R = 2.2 k. What
is the output voltage (Vout) when Vin = 10 V rms? (Points : 6)
8.25 12.8º
9.7512.8°
8.25 36.2º
11.22 28.5º
Question 2. 2. (TCO 1) The equation to calculate the cutoff
frequency in an R-C filter is (Points : 6)
Question 3. 3. (TCO 1) A sinusoidal voltage with a peak-to-
peak value of 15 V is applied to an RC low-pass filter. If the
capacitive reactance at the input frequency is zero, the output
voltage is (Points : 6)
0 V.
7.5 V peak-to-peak.
10.6 peak-to-peak.
15 V peak-to-peak.
Question 4. 4. (TCO 1) The output signal of a common-emitter
amplifier is always (Points : 6)
in phase with the input signal.
out of phase with the input signal.
larger than the input signal.
equal to the input signal.
Question 5. 5. (TCO 1) A common-source FET amplifier has an
RD = 1.0 k. How much does the gain change when a load
resistance of 1.0 k is capacitively coupled to the drain? (Points :
6)
x ½
x 1
x2
x4
Question 6. 6. (TCO 1) In which FET amplifier configuration is
the gain less than unity? (Points : 6)
common-source
common-gate
common-drain
common-base
Question 7. 7. (TCO 1) Determine Vout in the circuit below.
(Points : 6)
2.68 mV
26.8 mV
2.68 V
3.74 V
Question 8. 8. (TCO 1) In a 5 V level detector circuit (Points :
6)
the noninverting input is connected to +5 V.
the inverting input is connected to +5 V.
the input signal is limited to a 5 V peak value.
the input signal must be riding on a +5 dc level.
Question 9. 9. (TCO 1) If the least significant bit of an 8-bit
binary-
what resistor value is required for the most significant bit?
(Points : 6)
Question 10. 10. (TCO 1) Determine the output voltage for an
op-amp comparator circuit with a non-inverting input reference
voltage of + 2 VDC and an inverting input signal of – 1 VDC.
Th
limits. (Points : 6)
– 13 VDC
– 1 VDC
+ 3 VDC
+ 13 VDC
Question 11. 11. (TCO 1) A comparator circuit is an example of
an op-amp operating in which type of input mode? (Points : 6)
Single-ended
Double-ended
Inverting
Noninverting

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  • 1. Links to Estimation Techniques Tim Shaughnessy, Chapter 7 -- Demand Estimation and Forecasting, available from https://www.youtube.com/watch?v=daiTjsnznjM Matt Kermode, Explanation of Regression Results, Available at https://www.youtube.com/watch?v=c5blVUkkjTM Jason Delaney, Introduction to Multiple Regression, Available at https://www.youtube.com/watch?v=eLpfEml4Vak Session Long Project PART 1 In 2006 the CEO of Bear Sterns, James Caynes, received a compensation package of $34 million. The following year Bear Sterns cost $2.7 billion to the taxpayers. In 2006, the CEO of Lehman Brothers received a compensation package of $27 million. On September 15, 2008, Lehman Brothers filed for bankruptcy. The collapse of Lehman Brothers is seen by many as the key event that sparked the Global Financial Crisis. In 2006, the CEO of Citigroup, Charles Prince, received a compensation package of $25 million. Since then the stock price has fallen from $50 a share to $3.5 a share. The
  • 2. CEO of Countrywide Financial, Angelo Mozilo, did even better. His compensation package was $43 million. Angelo Mozilo and two other top executives were charged by the Security and Exchange Commission (SEC) with fraud. According to the SEC, from 2005 through 2007, Countrywide Financial engaged in an unprecedented expansion of its underwriting guidelines and was writing riskier and riskier loans, which these senior executives were warned might ultimately curtail the company's ability to sell them. Countrywide Financial was the third biggest originator of subprime mortgages and the nation's leader in subprime mortgage- backed securities. The tragedy is that these individuals did not make decisions that were in their companies’ best interest. Why? What went wrong? What caused the relation between the CEO and the stockholders to go so badly awry? Discuss. PART 2 Listen https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 1 of 8 7/17/2016 3:25 PM
  • 3. An important component of this course is experience with analyzing economic data at the managerial level. The computer is a perfect tool for manipulating data and performing statistical analyses. While the focus of BUS 530 is not on learning statistics, this course will utilize and improve your computer skills with a computer assignment designed to illustrate the interconnections between data, information and managerial decisions. The primary software will be Microsoft Excel and the Excel statistical add-in: Data Analysis. Microsoft Excel 2010 (and previous versions) provides a set of data analysis tools called Analysis ToolPak which you can use to save steps when you develop complex statistical analyses. You provide the data and parameters for each analysis; the tool uses the appropriate statistical macro functions and then displays the results in an output table. The Analysis ToolPak is a Microsoft Office Excel add-in program that is available when you install Microsoft Office or Excel. To use the Analysis ToolPak in Excel, however, you need to load it first. Click the Microsoft Office Button, and then click Excel Options. Click Add-Ins, and then in the Manage box, select Excel Add-ins. Click Go. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK. (If
  • 4. Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it.) If you get prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it. After you load the Analysis ToolPak, the Data Analysis command is available in the Analysis group on the Data tab. In the Module 4 SLP assignment you are also asked to estimate a market demand or a cost function (your choice) using the tools of regression analysis and the regression software outlined above. The first data set (demand for housing) is used to apply the hedonic approach to demand estimation, while the second data set (demand for cigarettes) is used to apply the classical approach. Finally, the third dataset (cost of electricity) uses a well known dataset to estimate the cost of electricity production. In all cases the data is cross-sectional data. The estimation of demand follows two approaches: the classical approach, whereby the quantity demanded of a product is explained by its own price, the prices of related goods (complements and substitutes), income, tastes and preferences, and the size of the population, among others; the hedonic approach, whereby the price of an asset (car, house)
  • 5. is explained by the characteristics of the asset itself (i.e., the price of housing depends on the number of bedrooms, the number of bathroom, the view from the house (using a dummy variable: 1 = view, 0 = no view), the square footage of the house, the square footage of the lot, etc). https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 2 of 8 7/17/2016 3:25 PM PART 2: Assignment You are given the data on housing. The data are collected from the real estate pages of the Boston Globe during 1990. These are homes that sold in the Boston, MA area. The source of the data is Wooldridge (2009) Introductory Econometrics: A Modern Approach, 4th Edition, Cengage VARIABLES 1. price price, in dollars 2. assess assessed value, in dollars 3. bdrms number of bedrooms
  • 6. 4. lotsize size of lot, square feet 5. sqrft size of house, square feet Cut and paste in Excel the data set. Then, in Excel, obtain the logarithmic transformation of the following variables using the Excel function =LOG( . ) 6. lprice log(price) : dependent variable 7. lassess log(assess) : independent variable 8. llotsize log(lotsize) : independent variable 9. lsqrft log(sqrft) : independent variable DATASET 1 OBSERVATIONS PRICE SQRFT ASSESS BDRMS LOTSIZE 300 2438 349.1 4 6126 370 2076 351.5 3 9903 191 1374 217.7 3 5200 195 1448 231.8 3 4600 373 2514 319.1 4 6095 466 2754 414.5 5 8566 332 2067 367.8 3 9000
  • 7. https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 3 of 8 7/17/2016 3:25 PM 315 1731 300.2 3 6210 206 1767 236.1 3 6000 240 1890 256.3 3 2892 285 2336 314 4 6000 300 2634 416.5 5 7047 405 3375 434 3 12237 212 1899 279.3 3 6460 265 2312 287.5 3 6519 227 1760 232.9 4 3597 240 2000 303.8 4 5922 285 1774 305.6 3 7123 268 1376 266.7 3 5642 310 1835 326 4 8602 266 2048 294.3 3 5494
  • 8. 270 2124 318.8 3 7800 225 1768 294.2 3 6003 150 1732 208 4 5218 247 1440 239.7 3 9425 275 1932 294.1 3 6114 230 1932 267.4 3 6710 343 2106 359.9 3 8577 477 3529 478.1 7 8400 350 2051 355.3 4 9773 230 1573 217.8 4 4806 335 2829 385 4 15086 https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 4 of 8 7/17/2016 3:25 PM 251 1630 224.3 3 5763 235 1840 251.9 4 6383 361 2066 354.9 4 9000 190 1702 212.5 4 3500
  • 9. 360 2750 452.4 4 10892 575 3880 518.1 5 15634 209 1854 289.4 4 6400 225 1421 268.1 2 8880 246 1662 278.5 3 6314 713 3331 655.4 5 28231 248 1656 273.3 4 7050 230 1171 212.1 3 5305 375 2293 354 5 6637 265 1764 252.1 3 7834 313 2768 324 3 1000 417 3733 475.5 4 8112 253 1536 256.8 3 5850 315 1638 279.2 4 6660 264 1972 313.9 3 6637 255 1478 279.8 2 15267 210 1408 198.7 3 5146 180 1812 221.5 3 6017
  • 10. 250 1722 268.4 3 8410 250 1780 282.3 4 5625 209 1674 230.7 4 5600 https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 5 of 8 7/17/2016 3:25 PM 258 1850 287 4 6525 289 1925 298.7 3 6060 316 2343 314.6 4 5539 225 1567 291 3 7566 266 1664 286.4 4 5484 310 1386 253.6 6 5348 471 2617 482 5 15834 335 2321 384.3 4 8022 495 2638 543.6 4 11966 279 1915 336.5 4 8460 380 2589 515.1 4 15105
  • 11. 325 2709 437 4 10859 220 1587 263.4 3 6300 215 1694 300.4 3 11554 240 1536 250.7 3 6000 725 3662 708.6 5 31000 230 1736 276.3 3 4054 306 2205 388.6 2 20700 425 1502 252.5 3 5525 318 1696 295.2 4 92681 330 2186 359.5 3 8178 246 1928 276.2 4 5944 225 1294 249.8 3 18838 111 1535 202.4 4 4315 268 1980 254 3 5167 https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 6 of 8 7/17/2016 3:25 PM 244 2090 306.8 4 7893
  • 12. 295 1837 318.3 3 6056 236 1715 259.4 3 5828 202 1574 258.1 3 6341 219 1185 232 2 6362 242 1774 252 4 4950 Please keep in mind that when you interpret a regression coefficient, you are assuming that all the other variables remain constant. A Note on ANOVA The ANOVA table is used to test the null hypothesis that all regression coefficients (excluding the intercept term) are equal to zero against the alternative hypothesis that at least one is different from zero. This test is known as the F test for regression. The F test is computed as follows, under the assumption that the null hypothesis is true: https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 7 of 8 7/17/2016 3:25 PM Privacy Policy | Contact
  • 13. The F statistics has two sets of degrees of freedom: numerator (attached to the Regression SS) and denominator degrees of freedom (attached to Residual SS). Excel computes the F statistic for you in the ANOVA table, and computes in the last column the level of significance (p-value). If the level of significance of the test is less than 5%, you will reject at the 5% level the null hypothesis that all regression parameters are zero. On the other hand, if the level of significance is greater than 5%, you will accept (i.e., fail to reject) the null hypothesis that all regression parameters are zero. SLP Assignment Expectations In the Module 4 SLP Assignment, you are expected to: Describe the purpose of the paper and provide a conclusion. Present information in a professional manner. Answer the SLP Assignment question clearly and provide necessary details. Write clearly and correctly—that is, no poor sentence structure, no spelling and grammar mistakes, and no run-on sentences. Provide citations to support your argument and place references on a
  • 14. separate page. (All the sources that you listed in the references section must be cited in the paper.) Use APA format to provide citations and references [http://owl.english.purdue.edu/owl/resource/560/01/]. Type and double-space the paper. Whenever appropriate, please use Excel to show supporting computations in an appendix, present economic information in tables, and use the data to answer follow-up questions. https://tlc.trident.edu/content/enforced/76908-BUS530- JUN2016FT-1/... 8 of 8 7/17/2016 3:25 PM 1. (TCO 1) The engineering prefix symbol for 1 x 10+6 is (Points : 6) k. M. m. ì. Question 2. 2. (TCO 1) A series circuit consists of a 100 , a 1 k and a 1 M resistor. What is the total resistance? (Points : 6) < 100 313.3 510 > 1 M
  • 15. Question 3. 3. (TCO 1) A 100 resistor is in parallel with a 220 resistor. The total resistance of the circuit is (Points : 6) < 100 . >100 and <220 . > 220 . > 320 . Question 4. 4. (TCO 1) Express 5000 kV as MV. (Points : 6) 0.005 MV 5.0 MV 50 MV 50,000 MV Question 5. 5. (TCO 1) What is the result of 250 mV/50 µ V? (Points : 6) 5 50 500 5,000 Question 6. 6. (TCO 1) A series circuit has a voltage supply of 6 V and a resistor of 2.0 kΩ. What is the amount of power dissipated by the resistor? (Points : 6) 0.003 W 0.018 W 12 kW 72 kW Question 7. 7. (TCO 1) A two resistor voltage divider consists of a 10 k and a 15 k ohm resistor, with the 10 k resistor connected to the voltage source and the 15 k resistor connected to ground. If the output voltage is 2.5 V, what is the value of
  • 16. the voltage source? (Points : 6) 2.500 V 4.167 V 6.25 V 7.125 V Question 8. 8. (TCO 1) Express 50 milliamp in engineering notation. (Points : 6) 50 x 10-3 A 5.0 x 10-2 A 5.0 A 50 x 10+3 A Question 9. 9. (TCO 1) An uncharged capacitor and resistor are connected in series with a 12 V source and a switch. What is the voltage across the capacitor after the switch is closed and the capacitor is fully charged? (Points : 6) 0 V 6.0 V 12 V 24 V Question 10. 10. (TCO 1) A perfect capacitor with C = 0.3 µF is connected in series to a current source with and peak value of 10 V. What is the reactance of the capacitor? (Points : 6) 132.6 25.13 m −25.13 −132.6 m
  • 17. Question 11. 11. (TCO 1) What is the relationship between current (I) and voltage (V) in a circuit consisting of a capacitor in series with a resistor? (Points : 6) I and V are in phase across the capacitor. I leads V across the resistor. V leads I across the capacitor. I and V are in phase across the resistor. Question 12. 12. (TCO 1) If the output impedance of a certain driving circuit is 50 - j10 , what value of load impedance will result in the maximum power to the load? (Points : 6) 50 + j10 50 - j100 10 + j50 10 – j50 Question 13. 13. (TCO 1) Find the complex conjugate of 250 + j433 in polar form. (Points : 6) 250 60 250 -60 500 60 500 -60 Question 14. 14. (TCO 1) A voltage source has the values VS = 25 V and RS = 5 . What are the values for the equivalent current source? (Points : 6) 5 A, 5 25 A, 5
  • 18. 5 A, 125 5 A, 25 1. (TCO 1) In a high-pass filter, XC = 500 and R = 2.2 k. What is the output voltage (Vout) when Vin = 10 V rms? (Points : 6) 8.25 12.8º 9.7512.8° 8.25 36.2º 11.22 28.5º Question 2. 2. (TCO 1) The equation to calculate the cutoff frequency in an R-C filter is (Points : 6) Question 3. 3. (TCO 1) A sinusoidal voltage with a peak-to- peak value of 15 V is applied to an RC low-pass filter. If the capacitive reactance at the input frequency is zero, the output voltage is (Points : 6) 0 V. 7.5 V peak-to-peak. 10.6 peak-to-peak. 15 V peak-to-peak. Question 4. 4. (TCO 1) The output signal of a common-emitter amplifier is always (Points : 6) in phase with the input signal. out of phase with the input signal. larger than the input signal. equal to the input signal. Question 5. 5. (TCO 1) A common-source FET amplifier has an RD = 1.0 k. How much does the gain change when a load
  • 19. resistance of 1.0 k is capacitively coupled to the drain? (Points : 6) x ½ x 1 x2 x4 Question 6. 6. (TCO 1) In which FET amplifier configuration is the gain less than unity? (Points : 6) common-source common-gate common-drain common-base Question 7. 7. (TCO 1) Determine Vout in the circuit below. (Points : 6) 2.68 mV 26.8 mV 2.68 V 3.74 V Question 8. 8. (TCO 1) In a 5 V level detector circuit (Points : 6) the noninverting input is connected to +5 V. the inverting input is connected to +5 V. the input signal is limited to a 5 V peak value. the input signal must be riding on a +5 dc level. Question 9. 9. (TCO 1) If the least significant bit of an 8-bit binary- what resistor value is required for the most significant bit?
  • 20. (Points : 6) Question 10. 10. (TCO 1) Determine the output voltage for an op-amp comparator circuit with a non-inverting input reference voltage of + 2 VDC and an inverting input signal of – 1 VDC. Th limits. (Points : 6) – 13 VDC – 1 VDC + 3 VDC + 13 VDC Question 11. 11. (TCO 1) A comparator circuit is an example of an op-amp operating in which type of input mode? (Points : 6) Single-ended Double-ended Inverting Noninverting