Linear Resistor data Lightbulb data i(mA) v(V) i(mA) v(V) 0.0 0.00 0.0 0.000 19.0 0.50 11.7 0.588 25.4 1.00 19.9 0.998 31.2 1.50 29.8 1.495 36.3 2.00 39.8 1.997 41.0 2.50 ΔΩ 7 2 490
Linear Resistor data Lightbulb data i(mA) v(V) i(mA) v(V) 0.0 0.00 0.0 0.000 19.0 0.50 11.7 0.588 25.4 1.00 19.9 0.998 31.2 1.50 29.8 1.495 36.3 2.00 39.8 1.997 41.0 2.50 ΔΩ 7 2 490
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
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Question
![Linear Resistor data
Lightbulb data
i(mA)
v(V)
i(mA)
v(V)
0.0
0.00
0.0
0.000
19.0
0.50
11.7
0.588
25.4
1.00
19.9
0.998
31.2
1.50
29.8
1.495
36.3
2.00
39.8
1.997
41.0
2.50
49.7
2.490
45.5
3.00
59.8
3.000
49.6
3.50
69.7
3.500
53.5
4.00
79.7
4.000
57.1
4.50
89.8
4.500
60.8
5.00
99.7
5.000
64.2
5.50
109.6
5.500
67.4
6.00
119.5
6.000
70.6
6.50
129.6
6.500
73.7
7.00
139.5
7.000
76.6
7.50
149.5
7.500
79.5
8.00
159.5
8.000
82.3
8.50
169.6
8.500
85.1
9.00
179.5
9.000
87.8
9.50
189.4
9.500
90.4
10.00
199.4
10.000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa83908f0-85bb-49b7-b0d3-bd5634754507%2F07871ac8-cedb-49f3-987e-ee354c150aa5%2F7g6oer_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Linear Resistor data
Lightbulb data
i(mA)
v(V)
i(mA)
v(V)
0.0
0.00
0.0
0.000
19.0
0.50
11.7
0.588
25.4
1.00
19.9
0.998
31.2
1.50
29.8
1.495
36.3
2.00
39.8
1.997
41.0
2.50
49.7
2.490
45.5
3.00
59.8
3.000
49.6
3.50
69.7
3.500
53.5
4.00
79.7
4.000
57.1
4.50
89.8
4.500
60.8
5.00
99.7
5.000
64.2
5.50
109.6
5.500
67.4
6.00
119.5
6.000
70.6
6.50
129.6
6.500
73.7
7.00
139.5
7.000
76.6
7.50
149.5
7.500
79.5
8.00
159.5
8.000
82.3
8.50
169.6
8.500
85.1
9.00
179.5
9.000
87.8
9.50
189.4
9.500
90.4
10.00
199.4
10.000
![Things to do:
1. Use the linear resistor data set to determine the value of the
linear resistor's resistance to three significant figures. Be
careful with the units. Remember that resistance is in units
of Ohms when voltage is in units of Volts and current is in
units of Amps (using the equation R = v/i). Explain how
you arrived at your value for resistance.
2. Add a column to the non-linear resistor's data set and
calculate the resistance exhibited by the component for
each different current. Again, be careful with the units. Use
the equation R = v/i to calculate the resistance at each
current value.
3. Predict the current drawn from a 6-V ideal voltage source
when the two components are connected in parallel with
the source.
4. Predict the current drawn from a 6-V ideal voltage source
when the two components are connected in series with the
source. Do this using graphical means as discussed in the
lecture that goes with this lab.
5. Use an Excel polynomial trendline of degree 3 to get the
equation of the best-fit curve through the non-linear resistor
data.
6. Re-do the series circuit current prediction from step 4 using
a different method. Do this using analytical means (using a
KVL and equations) as discussed in the lecture that goes
with this lab.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa83908f0-85bb-49b7-b0d3-bd5634754507%2F07871ac8-cedb-49f3-987e-ee354c150aa5%2Fw8hq9vd_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Things to do:
1. Use the linear resistor data set to determine the value of the
linear resistor's resistance to three significant figures. Be
careful with the units. Remember that resistance is in units
of Ohms when voltage is in units of Volts and current is in
units of Amps (using the equation R = v/i). Explain how
you arrived at your value for resistance.
2. Add a column to the non-linear resistor's data set and
calculate the resistance exhibited by the component for
each different current. Again, be careful with the units. Use
the equation R = v/i to calculate the resistance at each
current value.
3. Predict the current drawn from a 6-V ideal voltage source
when the two components are connected in parallel with
the source.
4. Predict the current drawn from a 6-V ideal voltage source
when the two components are connected in series with the
source. Do this using graphical means as discussed in the
lecture that goes with this lab.
5. Use an Excel polynomial trendline of degree 3 to get the
equation of the best-fit curve through the non-linear resistor
data.
6. Re-do the series circuit current prediction from step 4 using
a different method. Do this using analytical means (using a
KVL and equations) as discussed in the lecture that goes
with this lab.
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