Q1. Expected values are computed by - Expert Answers

Q1. Expected values are computed by multiplying: a. the largest expected results by their probability. b. all results by their probabilities, then summing them up. c. all results by their probabilities, then selecting the best. d. all probabilities by their expected results. e. all expected results by their probabilities.

Q2. Long-range planning would be considered to be a ________ model. a. dynamic b. static c. mathematical d. multidimensional e. simulation

Q3. Linear programming involves experimenting on a model of a system. a. true b. false

Q4. Models can be classified as static, dynamic, or both. a. true b. false

Q5. A DSS is designed to determine what will be; an MIS is designed to report what was. a. true b. false

Q6. Sensitivity analysis attempts to assess the impact of a change in the input data on the proposed solution. a. true b. false

Q7. Static models represent scenarios or trends over time. a. true b. false

Q8. Simulation involves experimenting on a model of a system. a. true b. false

Q9. Decision-making under certainty is always easy to solve. a. true b. false

Q10. Spreadsheet software, such as Microsoft Excel is capable of performing both what-if and goal seeking analysis. a. true b. false

Q11. The decision-maker's attitude toward risk can change the outcome of a situation involving risk. a. true b. false

Q12. Which model is designed to find the best solution from a large number of possible alternatives using a step-by-step process? a. Decision trees b. Markov analysis c. Linear programming d. Heuristic programming e. Simulation

Q13. Influence diagrams can be constructed with varying degrees of detail. a. true b. false

Q14. Decision tables work best for multiple-goal problems. a. true b. false

Q15. Goal seeking analysis is effective in determining the level of input needed to achieve a desired result. a. true b. false

Q16. The types of decision-making situations that may require analysis (in order of increasing complexity) are certainty, risk, and uncertainty. a. true b. false

Q17. The highest level of detail supported by a data warehouse is its grain. a. true b. false

Q18. Information is organized data. a. true b. false

Q19. Knowledge consists of data items and/or information organized and processed to convey understanding, experience, accumulated learning, and expertise as they apply to a current problem or activity. a. true b. false

Q20. There is a temporal quality to data warehouses. a. true b. false

Q21. In a data warehouse, data are organized by: a. time. b. subject. c. source system. d. degree of volatility. e. size.

Q22. In many ways setting up a data warehouse is like setting up a separate database for DSS. a. true b. false

Q23. Business dashboards provide real-time views of data a. true b. false

Q24. Sophisticated data mining systems can automatically discover knowledge in data warehouses by finding relationships that are hidden within the data. a. true b. false

Q25. Data, information, and knowledge are essentially the same thing. a. true b. false

Q26. When the Comptrollers office access data from the marketing department they are using external data because it comes from a source outside their department. a. true b. false

Q27. A star schema begins with a central dimension table that is linked to one or more fact tables. a. true b. false

Q28. Data quality is important because it can affect the quality of organizational decisions. a. true b. false

Q29. Data quality and data integrity are essentially the same thing. a. true b. false

Q30. The two most common data warehouse architectures are three-tiered and four-tiered. a. true b. false

Q31. The relational model is one of the best database models. a. true b. false

Q32. Intrinsic data quality refers to the ease of understanding or interpretability of data. a. true b. false

Q33. Integrated CASE tools are only used in the design and implementation phase. a. true b. false

Q34. Determining the viability of an idea is completed as part of the analysis phase. a. true b. false

Q35. Staffing the DSS project is completed after analysis has been completed. a. true b. false

Q36. The Lewin-Schein change theory is only useful for introducing departmental change to an organization. a. true b. false

Q37. Prototyping is also referred to as iterative design. a. true b. false

Q38. Prototyping is the single best DSS development methodology. a. true b. false

Q39. The waterfall development approach essentially works like water, it only flows downward. a. true b. false

Q40. User-developed DSS and end-user computing are essentially the same thing. a. true b. false

Q41. Organizations will typically only use one DSS generator as a means to control costs. a. true b. false

Q42. Prototyping is a form of rapid application development. a. true b. false

Q43. CASE tools consist of lower CASE, upper CASE and mixed CASE. a. true b. false

Q44. Project managers must have exceptional technical skills; it is far less important that they be a good project leader. a. true b. false

Q45. The prototype evolves into the developed system. a. true b. false

Q46. Case tools that assist in the analysis phase are called lower CASE. a. true b. false

Q47. Lack of commitment from business customers is one of the primary reasons why DSS projects fail. a. true b. false

Q48. Prototyping is the only adaptation of the SDLC. a. true b. false

Q49. The goal of RAD is to deliver functionality quickly. a. true b. false

Q50. One of the goals of a CASE tool is to provide a logical consistency to system documentation. a. true b. false
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