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Which of the following is expected to po...

Which of the following is expected to possess the largest root mean square speed at the same temperature?

A

`H_(2)S`

B

`NH_(3)`

C

`SO_(2)`

D

`CO_(2)`

Text Solution

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The correct Answer is:
To determine which molecule possesses the largest root mean square (RMS) speed at the same temperature, we can use the formula for root mean square speed: \[ u_{rms} = \sqrt{\frac{3RT}{M}} \] Where: - \( u_{rms} \) = root mean square speed - \( R \) = universal gas constant - \( T \) = temperature in Kelvin - \( M \) = molar mass of the gas in kg/mol ### Step-by-Step Solution: 1. **Understand the Relationship**: The root mean square speed is inversely proportional to the square root of the molar mass (\( M \)). This means that as the molar mass decreases, the root mean square speed increases. 2. **List the Molar Masses**: We need to calculate the molar mass of each given molecule: - **H2S (Hydrogen Sulfide)**: - Molar mass = \( 2 \times 1 + 32 = 34 \, \text{g/mol} \) - **NH3 (Ammonia)**: - Molar mass = \( 14 + 3 \times 1 = 17 \, \text{g/mol} \) - **SO2 (Sulfur Dioxide)**: - Molar mass = \( 32 + 2 \times 16 = 64 \, \text{g/mol} \) - **CO2 (Carbon Dioxide)**: - Molar mass = \( 12 + 2 \times 16 = 44 \, \text{g/mol} \) 3. **Compare Molar Masses**: Now we have the molar masses: - H2S: 34 g/mol - NH3: 17 g/mol - SO2: 64 g/mol - CO2: 44 g/mol 4. **Identify the Lowest Molar Mass**: Among the calculated molar masses, NH3 has the lowest molar mass (17 g/mol). 5. **Conclusion**: Since the root mean square speed is inversely proportional to the square root of the molar mass, NH3 will have the highest root mean square speed at the same temperature. ### Final Answer: **NH3 (Ammonia)** is expected to possess the largest root mean square speed at the same temperature. ---

To determine which molecule possesses the largest root mean square (RMS) speed at the same temperature, we can use the formula for root mean square speed: \[ u_{rms} = \sqrt{\frac{3RT}{M}} \] Where: - \( u_{rms} \) = root mean square speed ...
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