Which of the following is not an important principle for evaluating the raw data for decision-making: A. selection B. pattern C. everage D. overview E. None of the above

selection
pattern
everage
overview E. None of the above

The correct answer is C. average.

The other options, A, B, and D, are all important principles for evaluating raw data for decision-making.

  • Selection: This is the process of choosing the data that is relevant to the decision at hand.
  • Pattern: This is the process of identifying patterns in the data that can be used to make predictions.
  • Overview: This is the process of getting a general sense of the data as a whole.

Average is not an important principle for evaluating raw data for decision-making because it does not provide any information about the patterns or trends in the data. It is simply a measure of the central tendency of the data, which is not always relevant to the decision at hand.

For example, if you are trying to decide whether to invest in a particular stock, you would not want to just look at the average price of the stock. You would also want to look at the pattern of the stock price over time, as well as the overall trend of the stock market.