1. Time-series data may exhibit which of the followingbehaviors? A) Trend B) Seasonality C) Cycles D) Irregularities...
Question:
1. Time-series data may exhibit which of the followingbehaviors?
A) Trend
B) Seasonality
C) Cycles
D) Irregularities
E) All of the above
2. Gradual, long-term movement in time-series data iscalled:
A) Seasonal variation
B) Trend
C) Cycles
D) Irregular variation
E) Random variation
3. In order to increase the responsiveness of a forecast madeusing the moving-average method, the number of values in theaverage should be:
A) Decreased
B) Increased
C) Multiplied by a larger alpha
D) Multiplied by a smaller alpha
E) None of the above
4. PERT/CPM can answer which of the following questions?
A) When do activities need to start and finish to meet adeadline?
B) How much delay can be tolerated for certain activities?
C) Given uncertainties, what is the probabilitiy that a projectwill finish on time?
D) Only the first two of the above
E) All of the above
5. The earliest start time for anactivity is:
A) Based on the length of the critical path
B) Based on the maximum of the earliest finish times of itsimmediate predecessor
C) Based on the maximum of the earliest finish times of itsimmediate successors
D) The same as the latest start time of its immediatepredecessor
E) None of the above
6. In project network analysis,slack refers to the difference between:
A) Observed and predicted times
B) Optimistic and pessimistic times
C) Latest finish and latest start times
D) Earliest finish and earliest start times
E) Latest start and earliest start times
Explain youranswers
Discrete Mathematics and Its Applications
ISBN: 978-0073383095
7th edition
Authors: Kenneth H. Rosen