Part II: Use the linear regression equation to calculate [FESCN-] Beaker Absorbance [FESCN-] at equilibrium 0.225 0.6 x 10^-4 M A 0.262 0.7 x 10^4 M 0.318 0.85 x 10^-4 M Calculate the value of Keq for each beaker. How well do these values compare to each other? Initial Concentration: Fe3= 0.002 M, SCN = 0.002 M

Chemistry & Chemical Reactivity
10th Edition
ISBN:9781337399074
Author:John C. Kotz, Paul M. Treichel, John Townsend, David Treichel
Publisher:John C. Kotz, Paul M. Treichel, John Townsend, David Treichel
Chapter4: Stoichiometry: Quantitative Information About Chemical Reactions
Section: Chapter Questions
Problem 77PS
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Calculate the value of Keq. How well do these values compare to each other? Fe3 = 0.002 M , SCN = 0.002 M Keq= [FeSCN^2]/ [Fe^3][SCN^-]
Part I
Temperature:
°C
Beaker
[FESCN*]
Absorbance
1.6 x 10^-4 M 0.582
1
1.2 x 10^-4 M 0.448
2
0.8 x 10 ^-4 M 0.299
3
0.4 x 10^-4 M
0.151
4
Slope = 3596
Y-Intercept = 0.01112
Correlation: 0.9995
Linear Regression Equation
RMSE: 0.0007409
Part II: Use the linear regression equation to calculate [FESCN-]
Beaker Absorbance [FESCN»] at equilibrium
0.225
0.6 x 10^-4 M
A
0.262
0.7 x 10^4 M
B
0.318
0.85 x 10^-4 M
Calculate the value of Keq for each beaker. How well do these values compare to each other?
Initial Concentration: Fe3= 0.002 M, SCN = 0.002 M
Transcribed Image Text:Part I Temperature: °C Beaker [FESCN*] Absorbance 1.6 x 10^-4 M 0.582 1 1.2 x 10^-4 M 0.448 2 0.8 x 10 ^-4 M 0.299 3 0.4 x 10^-4 M 0.151 4 Slope = 3596 Y-Intercept = 0.01112 Correlation: 0.9995 Linear Regression Equation RMSE: 0.0007409 Part II: Use the linear regression equation to calculate [FESCN-] Beaker Absorbance [FESCN»] at equilibrium 0.225 0.6 x 10^-4 M A 0.262 0.7 x 10^4 M B 0.318 0.85 x 10^-4 M Calculate the value of Keq for each beaker. How well do these values compare to each other? Initial Concentration: Fe3= 0.002 M, SCN = 0.002 M
Expert Solution
Step 1
  • Equilibrium constant(Keq):- It maybe defined as the constant which is the ratio of the concentration of the product and reactant, raise to their stoichiometric powers.

Keq=[Product]x[Reactant]ywhere,[ ] represents the concentrationx is the stoichiometric power of producty is the stoichiometric power of reactant

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