Question

Pros and cons of using short and long-term periods of data.

A. Short-term: More accurate, Long-term: Less reliable
B. Short-term: Less volatile, Long-term: More dynamic
C. Short-term: Limited insights, Long-term: Comprehensive view
D. Short-term: Consistent patterns, Long-term: Unpredictable

Answer 1

The pros and cons of using short and long-term periods of data depend on the context. Short-term data is more accurate but may miss long-term trends, while long-term data provides a comprehensive view but may be less reliable.

Step-by-step explanation:

The pros and cons of using short and long-term periods of data can vary depending on the context. Here are the correct pros and cons for each option:

A. Short-term: Provides more accurate information due to the recent data, but the downside is that it may not capture long-term trends or patterns.

B. Long-term: Provides a more comprehensive view of the data, but it can be less reliable if there are significant changes or shifts over time.

It's essential to consider the specific goals and requirements of the analysis to determine whether short or long-term periods of data are more appropriate.