![]() Independent variables is changed at a time while the others are held constant. Influence the period, one needs an experimental design in which only one of the In order to determine how each of the independent variables may The period is termed the dependent variable, because its value may depend on the values of the independent Variables are termed independent variables, because one selects their Some variables whose influence oneĬould investigate include the length of the string, the mass of the bob, and theĪngle from the vertical at which the string is released. Variables influence the period of the pendulum, that is, the time for the bob toĮxecute one complete cycle over and back. Suppose the goal of the investigation is to determine which For example, consider a simple pendulum which is composed ofĪ compact weight (bob) that is hung from a string attached at its upper end to aįixed support. You'll also learn how to determine functional relationships between variables.Ĭommon type of laboratory investigation is to determine the relationship between ![]() In this lab, you'll actually learn about the pendulum itself and what what things influence its period. In that lab, a pendulum was used to help you learn how to reduce uncertainty in timing. You were introduced to the simple pendulum in L101. Use the relationship to design a pendulum that has a period of 1.000 s.Determine how the period of a simple pendulum is influenced by a) the mass of the bob, b) the angle of release, and c) the length of the pendulum.You'll use this knowledge over and over again in your study of physics. In the process, you'll learn about the simple pendulum. To find if there is any relationship between temperature and thermal expansion, we will plot a nonlinear regression to see if the regression line fits the data, the relationship between the predictors and response, how well it fits the data, and determine if it fits the assumptions and analysis.This is a hands-on lab that will extend your use of graphical analysis techniques as well as teach you some fundamentals of laboratory work. The purpose of this study is to identify if there is any relationship between the coefficient of the thermal expansion of copper and its temperature in Kelvin. You can use this data to demonstrate Nonlinear Regression. Researchers for the NIST (National Institute of Standards and Technology) want to understand the relationship between the coefficient of thermal expansion for copper and the temperature in degrees Kelvin. You do not need to show error bars in your graph. You should also show your data table in your graph file by using the "print" function in Logger Pro (and not "print graph"). Use the linear regression tool to fit both data sets and be sure to show the uncertainties of your linear fit data. You should show both lines on the same plot. ![]() temperature difference (ΔT) for both aluminum and brass wires. Using the data from Table, plot a graph of the resistance vs. ![]() You can use scientific notation to present your final results or use an appropriate prefix for the units. The uncertainty of the slope is obtained using the "show uncertainty" setting in the linear fit options in Logger Pro. Be sure to include the uncertainty calculation (propagation of error). ΔT graph, calculate the temperature coefficient of resistivity (α) for aluminum and copper. Table: Resistance values of aluminum and brass wire for different temperatures SOLVED: Using the data from Table, plot a graph of the resistance vs.
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