1. The problem is to identify the error in the Python code snippet that attempts to create a NumPy array of squared differences. 2. The code is: sqd = np.array((22 - 27.2)**2 , (25 - 27.2)**2 , (30 - 27.2)**2 , (30 - 27.2)**2 , (29 - 27.2)**2) 3. The error is in the syntax of np.array(). The function expects a single iterable (like a list or tuple) as its first argument, but here multiple arguments are passed separately. 4. The correct way is to pass a list or tuple of values inside np.array(), for example: sqd = np.array([(22 - 27.2)**2, (25 - 27.2)**2, (30 - 27.2)**2, (30 - 27.2)**2, (29 - 27.2)**2]) 5. This creates an array of squared differences from 27.2, which is useful in statistics for variance calculations. 6. Summary: Always pass a single iterable (list or tuple) to np.array() when creating arrays from multiple values.