How can you define the quantity spread across newly inserted records?

Defining the quantity spread across newly inserted records as equally over the new records is correct because it ensures a consistent and fair distribution across the datasets being worked on. In many planning and inventory scenarios, this method helps streamline data analysis and forecasting, allowing for each record to have the same baseline quantity. This uniform approach is particularly useful in scenarios where symmetry is desired, such as when forecasting demand or setting production levels across multiple items or time periods.

By distributing quantities equally, you eliminate potential biases that could arise from random distributions or variable allocations. This approach also aids in scenarios where a predictable methodology is necessary, enhancing the efficacy of the data analysis process.