CIS 200 FINAL EXAM Correctly Answered Questions | Grade A+

5 Whys technique to uncover and define problems : Asking "why" or what the cause of the situation was at least 5 times. Ask each other why until you figure out the root of the problem. Bandwagon effect : A dangerous effect when solving problems; adopting popular opinions and following the expectations of others Cause and effect diagram : Write the main problem in a box, then draw a horizontal line from the box across the page like a spine of fish. Identify related factors that contribute to the problem by drawing lines from the spine and labeling each. This helps determine the main cause of the problem Complex problems : Problems that have no clear boundaries, are unique, or have no single optimal solution; involve usually multiple stakeholders with competing agendas Decisions : Choices you have to make when faced with a set of options or alternatives. Also thought of as tiny problems you need to solve, and then apply problem solving techniques to guide your choices. • Intuition : Your knowledge of something without having to discover or learn it, and is typically your first reaction to a problem or question. This is a good procedure for whenever you need to make a quick decision or solve a routine problem. Sources of information gathering (4) : 1. Electronic: general info on web sites, databases, or CDs 2. Print: background info available in books, newspapers, and periodicals 3. Primary: direct observations, interviews, or questionnaires 4. Informal: organization files, conversations with colleagues, informal surveys Systematic approach for solving a problem : Solving a problem in a methodical and organized manner is systematic. This kind of problem solving takes a reasoned, rational approach and is appropriate for larger more complicated problems or situations that involve a lot of risk • Brainstorming and purpose of : a powerful creativity tool you can use to generate ideas and alternatives; listing possible solutions as they occur to you --- goal is QUANTITY not quality • Different types of data and examples of eac