The pre writing assignment and collection of laboratory data
a laboratory report with the data, results, calculations and graphs required for the report
The calibration of a pipet requires mastery of two of the most common operations in the laboratory: measurement of mass (weighing) and the measurement of volume of a liquid. The calibration of a 10-mL transfer pipet requires multiple measurements. Each measurement is unique and most likely different due to the errors associated with most measurements. The spread or range between the highest and lowest will depend on how carefully the measurements are performed during the calibration.
We will attempt to answer several questions throughout the course when collecting data in the laboratory:
How reliable are these measurements?
Does any value differ so widely from the others that it should be discarded? Should any outlying value be discarded?
What is the "best" value that can be derived from the values, the average or the median?
Leading to the final questions:
What is the precision of the measurements, i.e., how closely do they agree among themselves? and
What is the accuracy of the average or median, i.e., its closeness to the true value?
Professor Dave Explains - In science, we love data! But what are the rules of data collection? How accurate and how precise can we get with our data? What do these words even mean? Let's find out!
Complete the pre laboratory writing assignment in your laboratory notebook. The prewriting must be completed before the laboratory session begins. The writing should include a purpose/hypothesis of the experiment, a discussion or theory, a detailed step by step summary of the procedure explaining what data will be collected and how you will collect it. Data Tables or space to collect the data should be included within the procedure discussion. Look up any SDS on chemicals that you are not familiar. There are no pre laboratory problems for this assignment.
Use the following class data, pictures and resources to complete experiment 20.
The class data spreadsheet contains two trials of 5 measurements. Use the pictures below to gather Trial 3 data. All three trials should be used to complete the statistical analysis for this experiment.
Use the date in the spreadsheet below and add the final trial represented by the images below to complete the calculation, graphs and report.
Use the following pictures to collect the data for Trial 3. Use all three trials to complete the statistical analysis and Q test.
10 mL Volumetric pipette - water droplets show the pipette is dirty
Measurement line of 10 mL pipette
Remaining water in pipette after delivery of 10 mL of water
Mass of the empty 50 mL erlenmeyer with stopper
mass of the first aliquot of distilled water in the erlenmeyer flask at a temperature 23.9°C .
mass of the second aliquot of distilled water in the erlenmeyer flask at a temperature 23.7°C .
mass of the third aliquot of distilled water in the erlenmeyer flask at a temperature 23.8°C .
Mass of the fourth aliquot of water in the 50 mL at a temperature 24.0°C
fifth aliquot - note the meniscus is not on the mark.
mass of last aliquot of water added to the erlenmeyer flask
erlenmeyer with all five aliquots of water
temperature of the water for the fifth aliquot of water.
Calculate the volume of each aliquot of water from the mass and the reported density. The density of water is approximately 1 g/mL but density changes with temperature. The reported density of water at specific temperatures can be found in the Table of Density of Pure water at temperatures from 0 degree Celsius to 30.9 degree Celsius given in the table below or can be calculated and determined from the online calculator.
https://www.simetric.co.uk/si_water.htm#tap
Water density Calculator: https://antoine.frostburg.edu/chem/senese/javascript/water-density.html
https://sisu.ut.ee/measurement/frequently-asked-questions
This link discusses the analysis of data including uncertainty and estimation of errors.
https://youtu.be/K3zxIJm0v70
MathsResource.github.io | Dixon Test for Outliers
This video shows how to complete a Q test on outliers, the following video shows how to complete the calculation of Q in an Excel spreadsheet.
Excel, Word and PowerPoint Tutorials from Howtech
In this HowTech written tutorial, we’re going to show you how to perform a Q test to find outliers in Excel 2016. Don't forget to check out our main channel https://www.youtube.com/c/HowTech for more free how-to videos! Join us on Facebook http://www.Facebook.com/howtechtv Our App http://bit.ly/how-tech The measurements or values must first be in ascending order according to which possible outlier to test. To calculate gap, use the formula given in the screenshot. Calculating the range of the data is fairly simple as shown. Calculating Q is even simpler. Just divide the gap by the range. You will need a confidence interval and critical value, this table can be looked up online. Finally, I created a quick IF statement to check to see whether or not the value is an outlier or not. If the Q is less than the critical value, it is not an outlier. If it is greater than, it is an outlier. This is a HowTech tutorial, visit our website and watch our videos for more.
Complete the data and result tables, graphs, calculations and answer all required questions.
Complete a conclusion paragraph using the RERUNS method. A discussion of how to write a conclusion paragraph is given in Appendix D: How to Write a Formal Laboratory Report