Act B2_STOC-GILabReport.Mina_S2023 (1)

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Jan 9, 2024

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Last Name, First Name Lab Instructor 10/07/23 9/22 & 9/29 2:30 pm Date Lab Day Lab Start Time Relationships in Chemical Reactions F2016 Lab Report STOC-GI 1. Create a scatter plot to examine the relationship between the independent and dependent variables, Mass of CuSO 4 and Mass of Precipitate. Paste a copy of the scatterplot that you created in Excel here. 0.0000 0.1000 0.2000 0.3000 0.4000 0.5000 0.6000 0.7000 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 Mass of CuSO4 Mass of Precipitate 1a) For the graph above, over what range of data values for Mass of CuSO 4 does a linear relationship exist with Mass of Precipitate? Mass of CuSO 4 (Start of range) grams Mass of CuSO 4 (End of range) grams Range of Mass of CuSO 4 with linear relationship: 0.0676 0.5083 1b) Provide the value for the slope and the y-intercept of the trendline for the relationship between Mass of CuSO 4 and Mass of Precipitate using the data in Series 2. Slope Y-Intercept Trendline Values 0.3771x 0.0597
Part II: Heating A Substance 2a) For the set of variables given below, identify the independent variable and the dependent variable for the experiment conducted in Part II . Type of Variable Mass of MgCO 3 Temperature of Flame Mass of Residue Number of Heat-Cool- Weigh Cycles Independent Variable Dependent Variable 2b ) For the set of four variables given below, identify any controlled or ancillary variables for the experiment conducted in Part I. Check all, if any, that apply. Type of Variable Mass of MgCO3 Temperature of Flame Mass of Residue Number of Heat- Cool-Mass Cycles Controlled Variable Ancillary Variable Part III: Isolation and Analysis of Data Set 3. Create a scatter plot to examine the relationship between the independent and dependent variables. The scatterplot should be embedded on the Part II worksheet with the data. Insert Graph From Excel Here. 2
0.00 00 20.0 000 40.0 000 60.0 000 80.0 000 100. 0000 120. 0000 140.0000 160.0000 0.0000 0.0500 0.1000 0.1500 0.2000 0.2500 0.3000 0.3500 0.4000 Mass of MgCO3 Mass of Residue 3a ) Which of the statements could be used to describe the pattern in the graph? Check all that apply. Statement 1 Statement 2 Statement 3 Pattern in Graph of Independent and Dependent Variables Part II 3b ) For the graph above, over what range of data values for the independent variable does a linear relationship exist with the dependent variable? Start of range of Mass Independent Variable (grams) End of range of Mass Independent Variable (grams) Range of Mass of Independent Variable with linear relationship to dependent variable 0.0390 0.5048 3c ) Provide the value for the slope and the y-intercept of the trendline for the relationship between the independent and dependent variable. Slope Y-Intercept Trendline Values 0.4636x 0.0068 3
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4a) Do the data in Part I indicate a directly proportional relationship in theory? Yes No I Don’t Know Do the data in Part I indicate a directly proportional relationship in theory? Explain your reasoning I think the data in Part I does not indicate a directly proportional relationship because the y-intercept is not 0. 4b) Do the data in Part II indicate a directly proportional relationship in theory? Yes No I Don’t Know Do the data in Part II indicate a directly proportional relationship in theory? Explain your reasoning I also do not think the data in part II indicate proportional relationship for the same reason. 4c) Examine the graphs constructed for Part I and Part II data. Briefly describe any similarities and differences between the two graphs. Compare/Contrast Description How are the two graphs similar? Both show linear trend How are the two graphs different? Part II data is more accurate compared to its trendline than part I, part II data has one extreme outlier, and part I data had this slight curve with the data distribution 4d) Indicate the range of values, smallest to largest, for the independent variable over which the graphs from Part I and II display a similar and/or a different relationship. Compare/Contrast Part I: Range of Independent Part II: Range of Independent 4
Variable (X-Axis) Variable (X-Axis) Regions of graphs from Part I and II that display a similar relationship between the variables 0.2000 0.3000 Regions of graphs from Part I and II that display a different relationship between the variables 0.3000 0.3000 5. The data in Part I are based upon the formation of a precipitate from a double replacement reaction between two ionic compounds dissolved in a solution. 5a) Write a balanced chemical equation for this reaction. Na2CO3 + CuSO4 = Na2SO4 + CuCO3 5b) Which product of the reaction is the solid precipitate? CuCO3 5c) Based on the design of the experiment in Part I, why is there a linear relationship between Mass of CuSO 4 and Mass of Precipitate only over a range of values for Mass of CuSO 4 ? The more CuSO4 that is being used, the more there is precipitate that comes out of it. 5d) What part of the experiment design in Part I explains why the pattern changed to a constant relationship between the variables at higher values for Mass of CuSO 4 ? The amount of Na2CO3 that was incorporated. 5
5e) Describe how the pattern in the graph for Part I would change if the mass of Na 2 CO 3 was held “constant” at 0.15 grams instead of 0.20 grams. The constant relationship between variables would be much early on, on the graph. The data in Part II are based upon the decomposition reaction of solid magnesium carbonate. 5f) Write a balanced chemical equation for this reaction. MgCO3 = MgO + CO2 5g) Is there a limiting reactant for the decomposition reaction in Part II? Yes, MgCO3 5h) How does the pattern displayed in the graph for Part II support your answer? The pattern of the data is pretty much constant and almost as accurate as the trendline which would mean there had have to be a limiting reactant to create the pattern it has. 6a) Complete the table below using data that you collected in Part II. Mass of MgCO 3 Before Heating (+/-0.0001 g) Moles MgCO 3 Before Heating Mass of MgCO 3 Residue (+/-0.0001 g) Moles MgCO 3 Residue Ratio Moles MgCO 3 to Moles MgCO 3 Residue Sample Calculations 0.3233 3.834 x 10^-3 0.3010 3.570 x 10^-3 1.074 0.1751 2.077 x 10^-3 0.0780 9.250 x 10^-4 2.245 6b ) Compare your mole ratio to the slope of the line for class data in the graph prepared for question #3. Explain why the two values are the same or not the same. 6
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Neither of the two mole ratios are the same as the slope of the data from question #3 because this is just what I got while the graph consists of multiple data from multiple students which is a big factor for the slope. 7. Consider the data that you personally collected for Part I. 7a ) Copy the graph for the class data for Part I prepared for question #1. On this graph, plot the points for the data that you collected. Number the points, P1, P2, P3, P4. Paste edited graph here. 7b . For each point identify the limiting reactant as Sodium carbonate or Copper (II) sulfate. For each point, insert an X into the cell correctly identifies the limiting reactant for each row. Limiting Reactant Point Copper (II) sulfate Sodium Carbonate P1 P2 P3 P4 Consider the following models of the solution that resulted when the solution of CuSO 4 and Na 2 CO 3 were combined to form the precipitate. Model A Model C Model B Model D 8a) For each data point, select the model which best illustrates the solution that would have formed when the precipitate was prepared. Select all that apply. 7
Data point Model #A Model #B Model #C Model #D P1 x P2 x 8b) Explain your reasoning for the models you selected. Data point Reasoning P1 It created a significant amount of CuCO3 P2 It created a significant amount of CuCO3 8