Lab #1 - Introduction to Measurement Name Katie Ellis Group Names Felicia Emily Eden Introduction\/Purpose By performing the two tasks of measurement

# Lab #1 - Introduction to Measurement Name Katie Ellis Group...

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8/23/18 Introduction to Measurement Name: Katie Ellis Group Names: Felicia, Emily, Eden Introduction/Purpose: By performing the two tasks of measurement using a Lab Quest 2 and meter stick, the experiment aimed to determine the precision and accuracy of the Lab Quest 2 sensor and the mathematical model calculations of lab jack rotations. Procedurally, the group recorded the resultant calculations of the Lab Quest 2 measurements compared to a one meter stick, then moved on to task two of measuring the height of the lab jack after a full rotation. Recording data and finding the mathematical model for the line of best fit for the resultant data was also accomplished in task two. The goal of this experiment is to familiarize with the multiple ways to interpret and analyze data, along with the pondering the meaning of both precision and accuracy. Putting those words to use in actual experimentation will be reflected in the data patterns and collections of this lab. Data: Task #1 (Lab Quest 2 Measuring a Meter Stick) Graph observations: The graph was varied over the 5 second interval with multiple maximums and minimums. Position 1.029m Standard Deviation 0.000135m Mean 1.029m Calculations: Accuracy: Discrepancy= 1.029m - 1.0m = 0.029m % error= 1.029m-1.0m/1.0m x 100 = 2.9% Precision: %uncertainty= 0.000135m/1.029m x 100 = 0.0131% Analysis: Over the 5 seconds of this experiment, the data logger and motion sensor combined were very precise, but not nearly as accurate. The discrepancy calculation exemplifies the actual 0.029m that the position of the motion detector was off compared to the actual meter stick (1.0m). This reflects the accuracy of the motion detector combined with the data logger as the sound wave comes back to be read, the motion detector reflects a slightly slower reading than the actual length of time that it took the sound wave to travel to the white board and back. The %error assists with this analyzation as the 2.9% reflects a respectively high error percentage.
This also reflects the accuracy of the motion detector combined with the data logger. Though 2.9% seems like a small amount in the scope of a grade percentage, on the relative aspect of a motion detector that has to detect an extremely fast sound wave, 2.9% error presents a notable discrepancy.

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• Spring '15
• Farris

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