This preview shows pages 1–4. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Date:__08/03/2007__ Physics 211L Ohms Law Name: __Sarah Karam _______________________ Section number: __1 ____________ Partners Name: ___Toni Kondakji _____________ Instructor: __Ms. Sarah Najm__ Part I. Computeraided measurements A Ohmic devices passive resistor: Determination of the resistance using the IV curve: R = 10 R = 33 I (A) V (V) I (A) V (V) 0.096 0.98 0.03 0.98 0.201 1.959 0.06 1.993 0.285 3.007 0.08 2.568 0.235 2.339 0.09 2.973 Use linear regression to determine the experimental value for each resistance along with its rootmeansquare error. Compare the determined experimental value to the actual value of the resistance. At R = 10 Using the calculator, y = 10.634x 0.0859 Experimental value of R = slope = 10.634 But, 2 2 N N i i i i N x x = = 4 (0.096 2 +0.201 2 +0.285 2 +0.235 2 ) (0.096+0.201+0.285+0.235) 2 = 0.076779 e i =  y measured y calculated  1 Grade: 2 2 2 N i i e N N = e 1 = 0.98 0.934964 = 0.045036 e 1 2 = 2.028 103 e 2 = 1.959 2.051534 = 0.092534 e 2 2 = 8.563 103 e 3 = 3.007 2.94479 = 0.06221 e 3 2 = 3.87 103 e 4 = 2.399 2.41309 = 0.01409 e 4 2 = 1.985 104 e i 2 = 0.0146595 2 = 2 (0.0146595/0.072732) = 0.635 R = 10.6 0.6 % error of R = 10 : exp lit lit R R R 100 = 10 10.6 10 100 = 6 % . Error is acceptable since it is less than 12 % . At R = 33 Using the calculator, y = 32.567x 5.786 103 Experimental value of R = slope = 32.567 But, 2 2 N N i i i i N x x = = 4 (0.03 2 +0.06 2 +0.08 2 +0.09 2 ) (0.03+0.06+0.08+0.09) 2 = 8.4 103 e i =  y measured y calculated  e 1 = 0.98 0.985496 = 5.496 103 e 1 2 = 3.0206 105 e 2 = 1.993 1.965206 = 0.027794 e 2 2 = 7.725 104 e 3 = 2.568 2.618346 = 0.050346 e 3 2 = 2.535 103 e 4 = 2.973 2.944916 = 0.028084 e 4 2 = 7.887 104 e i 2 = 4.126406 103 2 2 2 2 N i i e N N = 2 = 2 (4.126406 103 /8.4 103 ) = 0.991 R = 33 1 % error of R = 33 : exp lit lit R R R 100 = 33 33 33 100 = 0 % . Error is acceptable since it is less than 12 % . Use linear regression to determine the experimental value of each equivalent resistance along with its rootmeansquare error. Compare these values to those that can be calculated from the previous measurements. For resistors in series: R eq = 43 Using the calculator, y = 42.345x + 0.0118 Experimental value of R = slope = 42.345 But, 2 2 N N i i i i N x x = = 4 (0.045 2 +0.024 2 +0.047 2 +0.06 2 ) (0.045+0.024+0.047+0.06) 2 = 0.019484 e i =  y measured y calculated...
View
Full
Document
This note was uploaded on 02/07/2011 for the course PHYS 211L taught by Professor Saranajm during the Fall '07 term at American University of Beirut.
 Fall '07
 SaraNajm
 Magnetism, Resistance

Click to edit the document details