Answer: The variability in a prediction typically comes from both A and B, which means the correct answer is C. The variability in a prediction can arise from:
Step-by-step explanation: A. The variability due to a new measurement: This refers to the inherent variation or uncertainty associated with making a new measurement or observation. Instruments, environmental factors, and human error can all contribute to measurement variability.
B. The variability due to estimation: This refers to the uncertainty introduced when you make predictions or estimate values based on available data. Estimation can involve statistical techniques, models, and assumptions, all of which can introduce variability into the predictions.
So, both of these factors contribute to the overall variability in a prediction. Therefore, option C, "The variability due to a new measurement and due to estimation," is the correct answer.