Of the procedures to analyze data listed, which one is most likely to result in an inaccurate prediction?
A. Averaging
B. Extrapolation
C. Graphing
D. Observation
Answer (3)
"Extrapolation" is the one procedure to analyze data listed among the following choices given in the question that is most likely to result in an inaccurate prediction. The correct option among all the options that are given in the question is the fourth option or option "d". I hope the answer has helped you.
Extrapolation is most likely to result in an inaccurate prediction.
Because extrapolation is the method in which estimation is done beyond the original observation i.e. range.
It may results in biased estimation. It cannot hold alone without physical consideration.
Hence, option 'B' is correct.
The procedure most likely to result in an inaccurate prediction is extrapolation (Option B), as it involves estimating values outside of the known data range based on trends that may not continue as expected. Unlike averaging, graphing, and observation, extrapolation carries a higher risk of error due to potential shifts in patterns. Thus, it can lead to unreliable predictions when applied to data outside the observed scope.
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