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Phet Simulation ( https://phet.colorado.edu/en/simulation/charges-and-fields ) Arrow points the direction of electric field and the green circles are the eguipotential lines. 1. At least for three
Phet Simulation (https://phet.colorado.edu/en/simulation/charges-and-fields)
Arrow points the direction of electric field and the green circles are the eguipotential lines. 1. At least for three different configurations of the positive and negative charges, explore the electric fields and eguipotential lines. For each configuration you choose. print out the electric field mapping and eguipotential lines. Attach the printout with your lab report. 2. Choose a particular amount of positive charge, say +5 g, measure the electric field at various points using the Sensor {the yellow button}. the distance between the point charge and the point you choose {use the measuring tape tool} and record on the following table. 3. Plot two graphs, one for E versus and other for E versus . B}; analyzing these two graphs. do you believe that the electric field is inversely proportional to the square of the distance (the Coulomb's Law}? 4. Using your second graph, calculate the value for and compare with the theoretical value. . Show your detail calculation including the percent error for your experimental value. 5. Now you wish to find out the relationship between the electric potential V at point in the vicinitj,r of a point charge q and the distance r between the charge and the point you choose. To investigate the relationship between Valid r, you come with a model where A and n are constant. Using the blue tool on the simulation, measure the potential at various distance from a particular charge1 say , and record Valid r in the following table. - 1: w ) (Volt) (m) 1 2 4 6 7 6. Plot two graphs (1) V versus r and (2) . Using your second graph, calculate the value for A and n. The equation for the voltage at point from a charge is given by . So, in your model A must be equal to and n must be equal to . Do you agree? Calculate the percent error for A and n that you calculate from your graph comparing the theoretical value (= 44.9 for ) and
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