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  2. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    The cerebral cortex is responsible for analytical thinking in the human brain. Analytical skill is the ability to deconstruct information into smaller categories in order to draw conclusions. [1] Analytical skill consists of categories that include logical reasoning, critical thinking, communication, research, data analysis and creativity.

  3. Situation, task, action, result - Wikipedia

    en.wikipedia.org/wiki/Situation,_task,_action...

    The situation, task, action, result (STAR) format is a technique [1] used by interviewers to gather all the relevant information about a specific capability that the job requires.

  4. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, [2] and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions.

  5. Numeracy - Wikipedia

    en.wikipedia.org/wiki/Numeracy

    Two categories of skills are included at the higher levels: the analytical skills (the ability to understand numerical information, such as required to interpret graphs and charts) and the statistical skills (the ability to apply higher probabilistic and statistical computation, such as conditional probabilities).

  6. Strategic thinking - Wikipedia

    en.wikipedia.org/wiki/Strategic_thinking

    Strategic thinking is one type of thinking, the ability to develop and implement long-term plans to achieve goals, analytical thinking is a foundation of strategic thinking, and many of the types of thinking that we could utilise include: [48] Analytical thinking. Strategic thinking. Creative thinking. Intuitive thinking. Systems thinking.

  7. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]

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