Final answer:
For Product A, a p-chart is used as it deals with a defective/acceptable decision which is attribute data. For Product B, a u-chart is suitable as it counts the number of flaws per unit, dealing with variable data.
Step-by-step explanation:
For Product A, where a decision of defective or acceptable is made on each unit, a control chart for attributes would typically be used, specifically a p-chart (proportion of defective items chart). This is because the product is being classified into two categories: defective or acceptable, which is a type of attribute data.
For Product B, where the actual number of flaws per unit is counted, a control chart for variables would be appropriate, and more specifically, a u-chart (number of defects per unit chart) would be the choice. This is because you are dealing with a count of flaws, which is variable data that can be measured on a continuous scale.