Mutually exclusive and collectively exhaustive

MECE Framework: Mutually Exclusive, Collectively Exhaustive, and Incredibly Effective

mutually exclusive and collectively exhaustive

Mathematics - Grade 10 - Exhaustive Events

and   what

Put simply, it is a principle that will help you sharpen your thinking and simplify complex ideas into something that can be easily understood. MECE is made up of two parts. For example, if you roll a six-sided die, the outcomes of a six or a three are mutually exclusive. When applied to information, mutually exclusive ideas would be distinctly separate and not overlapping. Combining these two elements will enable you to take a large amount of information and simplify it into multiple groups of separate and distinct ideas.

Organizations around the world have become aware that a data-driven approach is crucial to success. Today, we have a mountain of information available wherever we look. The MECE framework is an excellent tool that can help you do just that. The concept is just as simple as it sounds. Every point on the list must be mutually exclusive there should be no overlaps and every item must be independent of each other. Also, all the items on the list together must be collectively exhaustive and express the information in its entirety no possibility must be missed, so the list must account for all conceivable scenarios. MECE is essentially a thought-process that keeps ideas from getting muddled up.

MECE is a way of segmenting information into sub-elements that are mutually exclusive and collectively exhaustive. MECE as a method should be used when you craft an issue tree for your case structure. Doing so will help you avoid dependencies between different branches of the tree and thus sub-problems can be properly isolated. Mutually Exclusive : aims at reducing complexity by avoiding overlaps. You need to make sure that the possible solutions or groups are not accidentally considered twice. Proving exclusiveness forces you to carefully look at each option, consequently leading you to a much deeper understanding of the issue. Collectively Exhaustive: aims at ensuring a comprehensive collection without leaving alternatives.

In probability theory and logic, a set of events is jointly or collectively exhaustive if at least one of the events must occur. For example, when rolling a six-sided die, the outcomes 1, 2, 3, 4, 5, and 6 are collectively exhaustive, because they encompass the entire range of possible outcomes. Another way to describe collectively exhaustive events, is that their union must cover all the events within the entire sample space. For example, events A and B are said to be collectively exhaustive if where S is the sample space Compare this to the concept of a set of mutually exclusive events. In such a set no more than one event can occur at a given time. The set of all possible die rolls is both collectively exhaustive and mutually exclusive.



Collectively exhaustive events

In probability theory and logic , a set of events is jointly or collectively exhaustive if at least one of the events must occur. For example, when rolling a six-sided die , the events 1, 2, 3, 4, 5, and 6 each consisting of a single outcome are collectively exhaustive, because they encompass the entire range of possible outcomes.

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5 COMMENTS

  1. Frostie05 says:







  2. Armina L. says:

    Use MECE segmentations to group information in a logical manner

  3. Sophie P. says:

    In probability theory and logic, a set of events is jointly or collectively exhaustive if at least one The events 1 and 6 are mutually exclusive but not collectively exhaustive. The events "even" (2,4 or 6) and "not-6" (1,2,3,4, or 5) are collectively .

  4. Natalie C. says:







  5. Erik S. says:

    The MECE principle , pronounced to rhyme with "geese", [1] is a grouping principle for separating a set of items into subsets that are mutually exclusive ME and collectively exhaustive CE.

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