Final answer:
One major time-series pattern is the phenomenon of alternating high and low points in a series of data over time, known as cyclical or oscillating pattern. Another major time-series pattern is the trend pattern, where data consistently increases or decreases over time.
Step-by-step explanation:
One major time-series pattern is the phenomenon of alternating high and low points in a series of data over time. This pattern, known as cyclical or oscillating pattern, can be observed in economic variables such as unemployment and inflation rates. As mentioned in the question, there are years when unemployment falls but inflation rises, and other years where unemployment rises and inflation falls. This shows a cyclical pattern of inverse relationship between these two variables. Another major time-series pattern is the trend pattern, where data consistently increases or decreases over time. For example, if we observe a steady increase or decrease in a variable such as population over several years, we can identify a trend pattern.