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Decision Theory
Decisions
There are many types of decision making
1. Decision making under uncertainty
It refer to situations where more than one outcome can result from any single decision
2. Decision making under certainty
Whenever there exists only one outcome for a decision we are dealing along with this category for example linear programming, transportation sequencing and assignment and so on.
3. Decision making by using prior data
This occurs whenever it is possible to employ past experience or prior data to develop probabilities for the happened of each data
4. Decision making with no prior data
No past experience exists that can be utilized to derive outcome probabilities in this case the decision maker uses her or his subjective estimates of probabilities for different outcomes
Do you agree with the necessity of the sequencing E - L - P - S for learning? If not, then what do you suggest as an alternative path for understanding and internalising mathematic
While we first looked at mechanical vibrations we looked at a particular mass hanging on a spring with the possibility of both a damper or/and external force acting upon the mass.
Skewness - It is a concept which is normally used in statistical decision making. This refers to the degree whether a described frequency curve is deviating away from the gene
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