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The nature of curve of E(cell)^(@) vs. l...

The nature of curve of `E_(cell)^(@)` vs. log `K_c` is :

A

straight line

B

parabola

C

hyperbola

D

elliptical curve

Text Solution

AI Generated Solution

The correct Answer is:
To determine the nature of the curve of \( E_{cell}^\circ \) vs. \( \log K_c \), we can follow these steps: ### Step-by-Step Solution: 1. **Understand the Relationship**: We start with the Nernst equation, which relates the cell potential to the reaction quotient: \[ E_{cell} = E_{cell}^\circ - \frac{0.0591}{n} \log Q \] Here, \( E_{cell} \) is the cell potential, \( E_{cell}^\circ \) is the standard cell potential, \( n \) is the number of moles of electrons exchanged, and \( Q \) is the reaction quotient. 2. **Identify \( Q \) at Equilibrium**: At equilibrium, the reaction quotient \( Q \) becomes equal to the equilibrium constant \( K_c \). Therefore, we can rewrite the equation as: \[ E_{cell} = E_{cell}^\circ - \frac{0.0591}{n} \log K_c \] 3. **Set \( E_{cell} \) to Zero**: At equilibrium, \( E_{cell} \) becomes zero. Thus, we can set the equation to: \[ 0 = E_{cell}^\circ - \frac{0.0591}{n} \log K_c \] 4. **Rearranging the Equation**: Rearranging the equation gives us: \[ E_{cell}^\circ = \frac{0.0591}{n} \log K_c \] 5. **Identify the Form of the Equation**: The equation \( E_{cell}^\circ = \frac{0.0591}{n} \log K_c \) can be recognized as the equation of a straight line in the form \( y = mx \), where: - \( y \) is \( E_{cell}^\circ \) - \( x \) is \( \log K_c \) - \( m \) (the slope) is \( \frac{0.0591}{n} \) 6. **Conclusion**: Since the relationship between \( E_{cell}^\circ \) and \( \log K_c \) is linear, the nature of the curve of \( E_{cell}^\circ \) vs. \( \log K_c \) is a straight line. ### Final Answer: The nature of the curve of \( E_{cell}^\circ \) vs. \( \log K_c \) is a **straight line**.
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