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8m before adding the two quantities together when

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to 1.8m before adding the two quantities together. When multiplying or dividing the result must match the original quantity with the least amount of sig figs. For example when multiplying 25.9m and 3.1m the result would be 80.29m without rounding to the correct amount of significant figures, but after rounding to the original quantity with the least amount of significant figures the correct answer would just be 80m. Due to the many sets of data that is collected that could vary in uncontrollable ways, then the best way to look at the data is through the mean value of all measurements (this statement is not necessarily true for all sets of data). According to the theory of measurement the measurements should form a “normal distribution”. Even though a “normal distribution” would seem accurate there is still some uncertainty. The amount of uncertainty will be such that the probability of any new measurement falling in the interval from the mean minus the uncertainty will be about 67%. This definition of uncertainty is called the “standard deviation of the mean” and will be denoted by σ. σ=sqrt(Σ n i=1 (x i -x) 2 /N). The lab had the students measure the period of the pendulum with a timer 40 times. The students set up a wooden block with a string and ball attached to a stand. One student recorded the time in seconds it took the pendulum to make a full cycle. The other student has a stopwatch and makes the pendulum do a full cycle while starting and stopping the stopwatch when letting go of the ball and the ball returning to the student’s hands. The data should be recorded to 0.01s. Student must try to keep the
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