physicslab1

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Feb 20, 2024

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Report for Experiment #1 Measurement You name and stuff idk Abstract This experiment involved measuring cylinders with a ruler and scale, as well as measuring the background radiation count with a Geiger counter. The results from experiment one demonstrated the
linear relationship between mass and volume. The data from the Geiger counter was used to determine the FWHM and the standard deviation of the background radiation. Introduction A major source of error is the limit of precision of the instruments. In the instance of the scale, it only displays information up to the 10 th place in grams. This means that additional information measurement is lost. The greatest amount of lost information is .05 grams, because any larger than that, and it would round up to .1 grams which would be displayed. This is a source of random error due to lack of precision. In principle, random error is when repeated measurements produce different results under the exact same conditions. Systematic error is if there is an outside factor which constantly changes measurements. For example, if the scale was not zeroed, and dust weighing .2 grams fell on the scale, then each measurement would be .2 grams higher than the true value. Density is defined as the degree of compactness of a substance and is measured by the mass divided by the volume. Background radiation count rate is the radiation present in the natural environment, it comes from naturally occurring radioactive minerals. It is measured by detecting gamma rays, beta particles, and alpha particles. It is read in counts per minute. The goal of investigation 1 was to measure objects and model the mass and volume to observe the density. The goal of investigation 2 was to model the counts per minute of the Geiger counter to utilize standard deviation and histograms. Investigation 1 This experiment involved a digital scale, a ruler, and four cylinders. The diameter and length of each cylinder was measured with the ruler, and the weight was measured with the scale. The volume was then calculated with a standard equation. V = π D 2 L 4 Each scale was zeroed before measuring, however the mass recording still fluctuated due to dust on the scale. The weight displayed on the scale fluctuated within 1 gram before returning to the original weight displayed. There is the additional instrumental error which which created an imprecision in the data, which is displayed in the δm (g) row. This is the collected table with mass of the cylinder. Cylinder #1     #2     #3     #4
m ( g ) 23.0 21.2 11.9 4.6 δm ( g ) 0.05 0.05 0.05 0.05 δm/m 0.00217 0.00236 0.00420 0.0109 L ( cm ) 6.3 3.2 3.3 5 δL ( cm ) 0.05 0.05 0.05 0.05 δL/L 0.0079 0.017 0.015 0.010 D ( cm ) 1.2 1.5 1.1 0.6 δD ( cm ) 0.05 0.05 0.05 0.05 δD/D 0.042 0.033 0.045 0.083 V ( cm 3 ) 7.1 5.7 3.1 1.4 δV ( cm 3 ) 0.60 0.39 0.30 0.24 δV/V 0.084 0.068 0.092 0.17 ρ ( g/cm 3 ) 3.228 3.749 3.795 3.254 δρ ( g/cm 3 ) 0.05 0.05 0.05 0.05 δρ/ρ 0.01549 0.01334 0.01318 0.01537 The volume was calculated using the cylinder equation above. The errors were determined from the equation. δv v = ( 2 δD D ) 2 +( δL / L ) 2 The volume of the cylinders was also measured using the water immersion method. A volumetric flask was filled with 10ml water, then the cylinder was dropped into the flask, and the difference in ml was recorded. The results from the water volumetric are more accurate in principle than the first method because it relies on the water molecules enveloping the cylinder which is more precise than using a ruler. However, in this instance the results were nearly identical. The density of the cylinder was calculated by diving the weight by the volume. g cm 3 The error was calculating by dividing the instrumentation error, .05, by the density. Displayed is the graph directly copied from excel.
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This graph shows the linear relationship between mass and volume. The second image is the error range used from the instrumental error values. The density is the mass divided by the volume, which produces the slope. With perfect data there would be no y intercept. Overall, the density points calculated from the slope and y intercept are very close to the data points calculated from measurement. Investigation 2 Investigation 2 used a Geiger counter to measure background radiation. The Geiger counted collected data for 50- minutes, then the data was transposed onto Microsoft excel. Trial Count per minute 1 16 2 24 3 16 4 26
5 14 6 12 7 19 8 17 9 8 10 16 11 18 12 14 13 18 14 21 15 15 16 11 17 16 18 24 19 19 20 18 21 19 22 16 23 22 24 25 25 12 26 8 27 24 28 23 29 17 30 19 31 21 32 22 33 18 34 29 35 15 36 24 37 30 38 17 39 23 40 15 41 17 42 22 43 16 44 14 45 18 46 18 47 14
48 15 49 15 50 16 The average count rate was 18 A histogram was then created measuring the background counts. The FWHM is shown as the red bar. It stands for Full Width at Half Maximum. The width was 6.3, δ n was 2.68. The standard deviation is 4.75. This is significantly different from the Δ n determined from the FWHM. This is because the histogram resembles a bimodal data distribution rather than a bell curve. With more data, the histogram would shift to the center, and the FWHM would be closer to the standard deviation. The standard error in the mean was 0.67. Conclusion Investigation 1 observed the relationship between volume and mass. Cylinders were measured physically with a rule and scale, as well as displaced in water. The density relationship between the four cylinders was observed to follow the equations taught. Better equipment, or cylinders which would form exact numbers would lead to more accurate results for experiment 1. Investigation 2 observed various ways to interpret data collected from a Geiger counter. Ultimatly the histogram created from the Geiger counter did not have enough data to create a full bell curve, as it formed a bimodal distribution instead. If the Geiger counter had more time to collect data, the FWMH would have been more accurate. Additionally, the graph was shaped based off of intuition, therefore the length of the bars could have been improved slightly given more time. Questions.
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If you had forgotten to zero-out the scale before weighing the cylinders in investigation 1, how would it have affected your data? What type of error would this have introduced into your calculations? If I had forgotten to zero out the scale, the mass of the cylinders would appear higher than it actually is. This would be an instrument error, and would have shifted the data points to the right of the density vs volume relationship. A cylinder of the same material as the one you used in your experiment has a mass of 250g and a diameter of 10 cm. What is its length? Using the data provided from the graph. 250 g = 3.59 V V = 69.64 69.64 = π 10 2 l 4 l = 2.74 π m A sphere of the same material as the one you used in your experiment has a radius r=10 What is its mass? V = pi 20 2 2.74 pi 4 w = 3.59 ∗( 274 ) w = 983 g Suppose you receive a traffic ticket for speeding and want to contest it in court. Come up with two arguments, one using systematic error and the other using random error, that you could use to challenge the speed given by either your speedometer or the radar gun. My first argument is that the radar was not calibrated correctly, meaning the measurement added additional speed to what it saw when it passed my car, meaning instrumental error. My second argument is that several people have passed through this exact radar going the same speed, and only some of them get pulled over, meaning the radar must have random error. If the data from two Geiger counters are combined, how will the standard deviation of the new data set compare to that of each of the individual Geiger counters. The standard deviation would decrease because there is more data being collected. This is because there is more data to balance out the oddballs, and that each individual point has less of an impact on the whole when there is more data.