Unformatted text preview: Experiment 3 – Density of Nonane Fall 2009 Name TA Type name Type TA's name Day and Time Section Type section number Documentation List references here (Lab Partners, Lab Manual, Textbook, etc.) Grading Rubric
Possible Points Materials and Methods • Reference lab manual • Only describe deviations Results and Discussion • Inserted titles for tables • Inserted graphs into template • Inserted captions for each graph • Showed complete sample calculations • Summarized all data in tables • Answered questions correctly • Uses experimental data to clearly expresses how temperature is related to density • Error analysis Laboratory Technique 10 Points Received 70 20 TOTAL (100) TA Comments/Suggestions: CHEMISTRY 101L REPORT TEMPLATE
Density of Nonane Introduction EXPT. 3 The purpose of this report is to determine the effects of temperature on the density of nonane. The objective of the experiment was to measure the volume of nonane at various temperatures. Materials and Methods The procedure for this experiment was taken from reference the lab manual. Describe any deviations from the given procedure. This should be written in past tense using clear paragraph organization following the guidelines for writing experimental procedures. Results and Discussion The focus of this experiment is the effect of temperature on the density of nonane. For this analysis, a sample of nonane was heated and the volume of the nonane was recorded at various temperatures. These data are used to calculate the density of nonane at various temperatures and are summarized in Tables 1 and 2. Table 1. Title for table 1 Mass of buret segment Mass of buret segment filled with liquid Mass of liquid Trial 1 Trial 2 Table 2. Title for table 2 Corrected Volume (mL) Trial 1 Temperature (°C) Trial 1 Density (g/mL) Trial 1 Corrected Volume (mL) Trial 2 Temperature (°C) Trial 2 Density (g/mL) Trial 2 These data are plotted to determine the mathematical relationship between temperature and density. Figure 1 illustrates the graphical analysis used to determine this mathematical relationship. To determine the accuracy of the data, the experimental values obtained from Figure 1 are compared to the literature values displayed in Figure 2. All values used in the comparison are tabulated in Table 3. Insert DataStudio plot of Density vs. Temperature. Include both trials on one graph Figure 1. Graphical analysis of the density vs. temperature data for trials 1 and 2. The linear portion of the graphs are selected and linear regressions of these data yield correlation coefficients of rvalue for trial 1 and rvalue for trial 2 for trials 1 and 2, respectively. Insert DataStudio plot of Density vs. Temperature from Table 3.1 in manual Figure 2. Graphical analysis of the density vs. temperature data for the literature values presented in Table 3.1 of the lab manual. The slope and correlation coefficient are insert slope and insert rvalue, respectively. Table 3. Insert title for Table 3 Trial 1 Correlation coefficient, r yintercept Slope Average Slope (Trials 1 & 2) Percent Error Trial 2 Literature Values Answer the following questions in present tense using paragraph organization. Does the slope that you determined experimentally agree with literature value? If there are any discrepancies, how can you account for them? To determine if the error in the experiment is systematic or random, the average slope value presented in this report is compared to the average slope values from three other groups of students. From these data, presented in Table 5, it can be concluded that the major source of error is choose one: systematic or random. Explain why the error is either systematic or random. Use the data in Table 4 to support your choice. Table 4. Title for Table 4 Group 1
(current study) Group 2
(document source) Group 3
(document source) Group 4
(document source) Average Slope Percent Error ...
View
Full Document
 Fall '08
 Austell
 Slope, Pearson productmoment correlation coefficient, Touring car racing

Click to edit the document details