Answer:Synthetic division may look like just a math shortcut, but its ideas show up in real life, especially in computer science. For example, in error detection like CRC, messages are treated as polynomials and divided to check if the data is correct. In computer graphics, polynomials are also used to make smooth curves and animations. These examples show how the principle of simplifying and working with polynomials is very practical. Polynomial models are efficient and reliable, though they can be limited when data is too complex, which is why other models are sometimes better. Still, the concept behind synthetic division proves useful in many technologies we use every day.