In this lab, the density of 20 glass beads were determined using two different methods and the results were compared to see how close the values were to each other. In first method the volume of each individual bead was measured using the diameter of each bead, along with the mass. In the second method the beads we treated as a whole unit. The total mass was measured and volume was measured based on the amount of water that was displaced in a graduated cylinder. Then, the beads were swapped with 20 different glass beads of the same type. The procedure was repeated and the results were compared to the data of the first bead set to look for any systematic errors that may have occurred. During the experiment, the data was used to see whether the diameter, mass, and density were constant between the individual beads. However, the main goal of the experiment was to answer the question of whether or not individual density average agreed with the bulk density.

Analysis
Through error analysis, the data found was used to determine if the calculated densities were the same when comparing twenty individual beads versus the entire set of twenty beads treated as one unit. For the first data set, the average diameter is 1.42 cm. The average mass is 3.90 g. The average density is 2.62 g/cm3. The average variation of the diameter is 0.04 cm. This amount shows how much the beads varied in diameter. The average variation of the mass is 0.28 g, which shows how much the mass of the beads varied from one another. The average variation between the densities of the individual beads is 0.06 g/cm3. The average percent variation of the diameter is 2.8%. The average percent variation of the mass is 7.2%. The average percent variation of the density is 2.4%. The uncertainty for the diameter in the first data set is 0.005cm and the percent uncertainty is 0.37%. The uncertainty of the mass is 0.005g and the percent uncertainty is 0.15%. Since the percent of...

...ErrorAnalysisLab
By: Lab Team 5
Introduction and Background: In the process of learning about the importance of measurement and data processing, lab teams were given prompts to design experiments as well as address the precision, accuracy, and erroranalysis within the experiment. Lab teams collaborated their data to find similarities and differences within their...

...Basic Concepts of ErrorAnalysis
1. Significant Figures:
The laboratory usually involves measurements of several physical quantities
such as length, mass, time, voltage and current. The values of these quantities
should be presented in terms of Significant Figures as follows.
For example, the location of the arrow is to be determined in Fig. 1. It is
obvious that the location is between 1 cm and 2 cm. The correct way to express
this location is to make one...

...quantity. The art of estimating these deviations should probably be called uncertainty analysis, but for historical reasons is referred to as erroranalysis. This document contains brief discussions about how errors are reported, the kinds of errors that can occur, how to estimate random errors, and how to carry error estimates into calculated results. We are not, and will not be, concerned with...

...Experimental Errors and Uncertainty
No physical quantity can be measured with perfect certainty; there are always errors in any measurement. This means that if we measure some quantity and, then, repeat the measurement, we will almost certainly measure a different value the second time. How, then, can we know the “true” value of a physical quantity? The short answer is that we can’t. However, as we take greater care in our measurements and apply ever more refined...

...chosen to be analyzed.
5.3. Data Analysis
The errors committed by both groups of participants are classified in this study as follows:
1. Categories:
a. Omission errors, which is omitting some required elements.
b. Addition errors, which is adding unnecessary elements.
c. Selection errors, which is selecting incorrect elements.
2. Subcategories:
a. Morphological errors....

...ERRORS IN MEASUREMENT
Errors in Measurement
Structure
2.1
Introduction
Objectives
2.2
Classification of Errors
2.2.1
Gross Errors
2.2.2
Systematic Errors
2.2.3
Random Errors
2.3
Accuracy and Precision
2.4
Calibration of the Instrument
2.5
Analysis of the Errors
2.5.1
ErrorAnalysis on Common Sense...

...LabAnalysis Questions
1. What are the important ions for most neurons when considering changes in membrane potential? (3 points)
2. What is the resting membrane potential? (3 points)
3. What does it mean that the voltage just inside the membrane is negative? (4 points)
Neurophysiology of Nerve Impulses Activity 2: Receptor Potential (20 points total)
Notes:
• After reading the Overview and Introduction, Click on Experiment.
• Follow the...

...equilibrated with the water inside the 1000 ml beaker, the temperature and volume of the air bubble, along with the pressure in the air bubble which is equal to the pressure in the room of the can be used with the ideal gas law to find .
ErrorAnalysis
The standard deviation of the slope of the best fit line was 116.83 of the -4747.76 slope value. The standard deviation of the y-intercept was 0.3458 of the 12.716 y-intercept value. The standard deviation...